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¥»¥Ã¥·¥ç¥ó A1-1 ¥«¥ª¥¹¤ÈÄÌ¿® (22Æü 9:25¡Á10:15)
ºÂĹ: À¾Èø˧ʸ(ÆÁÅçÂç)

Âê̾ ¥Þ¥ë¥Á¥ì¡¼¥È¿®¹æ½èÍý¤òÍøÍѤ·¤¿µ¼»÷¥«¥ª¥¹¿®¹æ¤ÎĹ¼þ´üÀ­¸¡½Ð
Ãø¼Ô ¡û¼¼Ã« ÃÒÌé, Äé À¶Ê¸, °¤Éô ¹¬À¯, º½ÅÄ °Ò»Î(ÌÀ¼£Âç³ØÂç³Ø±¡Íý¹©³Ø¸¦µæ²Ê), ³ùÅÄ ¹°Ç·(ÌÀ¼£Âç³ØÍý¹©³ØÉô)
keywords µ¼»÷¥«¥ª¥¹, Ĺ¼þ´üÀ­, Multirate¿®¹æ½èÍý, Decimation, ¹â®¿äÄê
abstract Ëܸ¦µæ¤Ç¤Ï¡¢Multirate¿®¹æ½èÍý¤Îµ»Ë¡¤Î¤Ò¤È¤Ä¤Ç¤¢¤ë Decimation¤Ë¤Ä¤¤¤Æ¸¡Æ¤¤·¡¢µ¿»÷¥«¥ª¥¹¿®¹æ¤ÎĹ¼þ´üÀ­¤Ë´Ø¤¹¤ë¹â®ɾ²ÁË¡¤òÄó °Æ¤¹¤ë¡£Ëܸ¦µæ¤Ç¤Ï¡¢¿ôËüʬ¤Î1°Ê¾å¤ÎÈæΨ¤«¤é¤Ê¤ë¥À¥¦¥ó¥µ¥ó¥×¥ê¥ó¥°¤ò¼Â¸½¤¹ ¤ëɬÍפ¬¤¢¤ê¡¢¥¨¥ê¥¢¥¸¥ó¥°¥Õ¥£¥ë¥¿¼Â¸½¤ËÍפ¹¤ëµ­²±ÍÆÎ̤ª¤è¤Ó±é»»»þ´Ö¤È¤â ¤Ë¡¢¸½ºß¤ÎÈÆÍÑ¥³¥ó¥Ô¥å¡¼¥¿¤Ç¤Ï½èÍý¤¬º¤Æñ¤È¤Ê¤ë¡£Ëܸ¦µæ¤Ç¤ÏÎ¥»¶FourierÊÑ´¹ ¤òÊÑ·Á¤·¡¢¶Ë¤á¤Æ¾¯¤Ê¤¤µ­²±ÍÆÎ̤ȱ黻»þ´Ö¤Ç¡¢¿ôÀéËü¥µ¥ó¥×¥ë¤«¤é¤Ê¤ë¼þ´üÀ­ ¤ò½¾ÍèË¡¤Î100ʬ¤Î1¤Î»þ´Ö¤Ç¿äÄꤹ¤ëÊýË¡¤òÄó°Æ¤·¤Æ¤¤¤ë¡£

Âê̾ ¾õÂÖ¤¬Î̻Ҳ½¤µ¤ì¤¿ÀÑʬȯ²Ð·¿²óÏ©¤È¿½Å²½¥Ñ¥ë¥¹ÄÌ¿®
Ãø¼Ô Àîºê¾Í»Ë, ¡ûÄ»»ô¹°¹¬, ÀÆÆ£ÍøÄÌ(Ë¡À¯Âç³Ø¹©³ØÉô¾ðÊóÅŵ¤ÅŻҹ©³Ø²Ê)
keywords ÀÑʬȯ²Ð·¿²óÏ©, ¥Ñ¥ë¥¹»É·ãÆþÎÏ, Î̻Ҳ½, ¿½Å²½¥Ñ¥ë¥¹ÄÌ¿®, Éä¹æ²½
abstract ¥Ñ¥ë¥¹»É·ãÆþÎϤòÍ­¤·¡¢¥Ù¡¼¥¹¤¬¼þ´üŪ¤ËÊÑÆ°¤¹¤ëÀÑʬȯ²Ð·¿²óÏ©(°Ê¸åIFC¤Èά¤¹)¤È¤½¤ì¤òÍѤ¤¤¿Â¿½Å²½¥Ñ¥ë¥¹ÄÌ¿®¤Ë¤Ä¤¤¤Æ¹Í»¡¤ò¹Ô¤¦¡£ Á÷¿®Â¦¤ÎIFC¤Ï¾õÂÖ¡¢È¯²Ð»þ¹ï¤¬Î̻Ҳ½¤µ¤ì¡¢Ä¶°ÂÄê¼þ´ü¥Ñ¥ë¥¹Îó(°Ê¸åSSPT¤Èά¤¹)¤Î¶¦Â¸¾õÂÖ¤òÍ­¤¹¤ë¡£ IFC¤Ï½é´üÃͤ˱þ¤¸¤Æ¤½¤ÎÃæ¤Î1¤Ä¤ò½ÐÎϤ¹¤ë¡£ SSPT¤Î¿ô¤È¶¦Â¸¤·¤Æ¤¤¤ëSSPT¤Î´Ö¤ÎºÇ¾®¥Ñ¥ë¥¹µ÷Î¥¤òµá¤á¤ë¡£ ¤Þ¤¿Á÷¿®¿®¹æ¤Î¸ú²ÌŪ¤ÊÉä¹æ²½ÊýË¡¤ò¹Íθ¤·¤¿Â¿½Å²½¥Ñ¥ë¥¹ÄÌ¿®¤òÄó°Æ¤·¤½¤Î´ðËÜÆÃÀ­¤ò¹Í»¡¤¹¤ë¡£



¥»¥Ã¥·¥ç¥ó A1-2 ¥«¥ª¥¹¤Èʬ´ô (22Æü 10:45¡Á12:00)
ºÂĹ: Ä»»ô¹°¹¬(Ë¡À¯Âç)

Âê̾ Revealing the trick of chaos suppressing by weak resonant perturbations
Ãø¼Ô ¡ûNaohiko Inaba, Munehisa Sekikawa(Department of Information Science, Faculty of Engineering, Utsunomiya University), Tetsuro Endo(Department of Electronic & Communication, School of Science & Technology, Meiji University), Takashi Tsubouchi(Institute of Engineering Mechanics and Systems, University of Tsukuba)
keywords chaos suppressing, taming chaos
abstract Chaos suppressing by weak harmonic perturbations has been a hot topic in recent years. In this paper, we investigate a scenario for the mechanism of taming chaos via bifurcation theory, and assert that this phenomenon is caused by a slight shift of the saddle node bifurcation curves.

Âê̾ The Bifurcation Set of Successive Torus Doubling
Ãø¼Ô ¡û´ØÀî ½¡µ×(±§ÅÔµÜÂç³Ø¹©³ØÉô), µÈ±Ê ůºÈ(ÆÁÅçÂç³Ø°å³ØÉô), °ðÍÕ Ä¾É§(±§ÅÔµÜÂç³Ø¹©³ØÉô)
keywords ¥«¥ª¥¹, ¥È¡¼¥é¥¹, ¥È¡¼¥é¥¹´¬¿ôÇܲø½¾Ý, ʬ´ô, ;¼¡¸µ2¤Îʬ´ô
abstract ËÜÏÀʸ¤Ç¤Ï¡¤Ãø¼Ô¤é¤¬¤¹¤Ç¤ËÄó°Æ¤·¤¿¥í¥¸¥¹¥Æ¥£¥Ã¥¯¼ÌÁü¤È¥µ¥¤¥ó¥µ¡¼¥¯¥ë¼ÌÁü¤Î·ë¹ç¥â¥Ç¥ë¤ËÀ¸¤¸¤ë¤¢¤ëÆÃħŪ¤Ê·Á¾õ¤ò¤·¤¿¥È¡¼¥é¥¹ (swollen shape type bifurcation) ¤Ë¤Ä¤¤¤Æ¾ÜºÙ¤ËÄ´¤Ù¤¿¡¥¤³¤Î·ë¹ç·Ï¤Ë¤ª¤¤¤Æ¡¤¼þ´üÇÜʬ´ô¤È¥µ¥É¥ë¡¦¥Î¡¼¥Éʬ´ô¤¬Æ±»þ¤ËÀ¸¤¸¤ë;¼¡¸µ2¤Îʬ´ôÅÀ¤òÍýÏÀŪ¤ËÄÉÀפ¹¤ë¤³¤È¤Ï²Äǽ¤Ç¤¢¤ë¡¥¤³¤Îʬ´ôÅÀ¤¬Ï¢º¿Åª¤ËȯÀ¸¤¹¤ë¤Î¤Ç¤¢¤ì¤Ð swollen shape type bifurcation ¤âÏ¢º¿Åª¤ËȯÀ¸¤¹¤ë¤³¤È¤ò¼¨º¶¤¹¤ëÍ­ÎϤʺ¬µò¤È¤Ê¤ê¤¦¤ë¤È¹Í¤¨¤¿¡¥¤³¤Î;¼¡¸µ2¤Îʬ´ôÅÀ¤Ï¤¤¤¯¤é¤Ç¤âȯÀ¸¤¹¤ë¤³¤È¤Ïʬ¤«¤Ã¤¿¤¬¡¤swollen shape type bifurcation ¤Î½¸ÀÑÅÀ¶á˵¤Î;¼¡¸µ2¤Îʬ´ôÅÀ¤Î¥Ñ¥é¥á¡¼¥¿ÃͤϿ¶Æ°¤·¤Æ¤ª¤ê¡¤ÉÔÊÑÄê¿ô¤ÏÆÀ¤é¤ì¤Ê¤¤¤³¤È¤¬ÌÀ¤é¤«¤È¤Ê¤Ã¤¿¡¥

Âê̾ ¹â¼¡¸µ¥«¥ª¥¹¥Ë¥å¡¼¥í¥ó¤Îʬ´ô²òÀÏ
Ãø¼Ô ¡ûÅÄÃæ ´²¿Í, Ĭ ½Ó¸÷(ÂçºåÂç³ØÂç³Ø±¡ ´ðÁù©³Ø¸¦µæ²Ê)
keywords ¥Ð¡¼¥¹¥È¿¶Æ°, Î¥»¶»þ´Ö¥«¥ª¥¹¥Ë¥å¡¼¥í¥ó¥â¥Ç¥ë, ʬ´ô½¸¹ç
abstract ¶áǯ¡¤¥Ë¥å¡¼¥í¥ó¥â¥Ç¥ë¤ËÀ¸¤¸¤ë¥Ð¡¼¥¹¥È¿¶Æ°¤Ë´Ø¤¹¤ë¸¦µæ¤¬ÃíÌܤµ¤ì¤Æ¤¤¤ë¡¥ É®¼Ô¤é¤Ï¹ç¸¶¥â¥Ç¥ë¤ò¤â¤È¤Ë¤·¤Æ¡¤¥Ð¡¼¥¹¥È¿¶Æ°¤¬È¯À¸¤¹¤ëÎ¥»¶»þ´Ö¹â¼¡¸µ¥«¥ª¥¹¥Ë¥å¡¼¥í¥ó¥â¥Ç¥ë¤òÄó°Æ¤·¤¿¡¥ ËÜÊó¹ð¤Ç¤Ï¡¤¤½¤Î¥â¥Ç¥ë¤Îʬ´ô¸½¾Ý¤òÄ´¤Ù¤ë¡¥ Æäˡ¤¥Ð¡¼¥¹¥È¿¶Æ°¤¬À¸¤¸¤ë¥Ñ¥é¥á¡¼¥¿ÉÕ¶á¤Ç¤Îʬ´ô½¸¹ç¤òµá¤á¤ë¡¥ ¤½¤Î·ë²Ì¡¤£²¼þ´ü¥Û¥â¥¯¥ê¥Ë¥Ã¥¯µ°Æ»¤Ë¤è¤Ã¤ÆÀ¸¤¸¤ë¥Ð¡¼¥¹¥È¿¶Æ°¤¬Â¸ºß¤¹¤ë¤³¤È¤òÌÀ¤é¤«¤Ë¤¹¤ë¡¥



¥»¥Ã¥·¥ç¥ó Ba1-1 ¥¢¥Ê¥í¥°µ¡Ç½²óÏ© (22Æü 9:00¡Á10:15)
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Âê̾ EMIÄ㸺²½¤Î¤¿¤á¤Î¥¹¥¤¥Ã¥Á¥ó¥°¥Î¥¤¥º¡¦¥¹¥Ú¥¯¥È¥é¥à³È»¶µ»½Ñ¤òÍѤ¤¤¿DC-DCÊÑ´¹²óÏ©
Ãø¼Ô ¡ûÄê¼¹¨, ÂçÌ繧¹¬, ¿ÊÆ£¿òÇ·, ¾®ÎÓ½ÕÉ×(·²ÇÏÂç³Ø¡¡¹©³ØÉô¡¡Åŵ¤ÅŻҹ©³Ø²Ê), ̾ÌîδÉ×, ÎëÌÚãÌé, ²Ï°æ¼þÊ¿, ÈÓÅçδ(»°ÍÎÅŵ¡¡¡¥»¥ß¥³¥ó¥À¥¯¥¿¡¼¥«¥ó¥Ñ¥Ë¡¼)
keywords ¥¹¥¤¥Ã¥Á¥ó¥°ÅŸ», DC-DC converter, ¥¹¥Ú¥¯¥È¥é¥à³È»¶, ¥¯¥í¥Ã¥¯¥¸¥Ã¥¿, ¥¹¥¤¥Ã¥Á¥ó¥°¥Î¥¤¥º
abstract This paper presents a DC-DC converter (switching regulator) which employs our proposed spectrum spread technique for switching noise power to reduce Electro-Magnetic Interference (EMI). This noise spectrum spread technique is realized by intentionally fluctuating the control clock timing in the DC-DC converter, and this timing fluctuation (or pseudo random jitter) can be realized by adding simple digital circuitry. As a result, noise power spectrum peaks of the DC-DC converter output can be reduced significantly. Our measured results show that the noise power is reduced by 5.7dBm at the main peak and it is by 15.6dBm at the second peak while it is by 12.8dBm at the third peak. This simple-yet-powerful technique is applicable for most of conventional switching regulators by just adding simple digital circuitry and without design modification for the other parts.

Âê̾ Äã¾ÃÈñÅÅÎÏ¥¢¥Ê¥í¥°¥Þ¥Ã¥Á¥È¥Õ¥£¥ë¥¿
Ãø¼Ô ¡ûº´¡¹ÌÚ¡¡¾»¹À(Áá°ðÅÄÂç³ØÍý¹©³ØÉôÅŵ¤ÅŻҾðÊ󹩳زÊ), ºä°æ¡¡¾æÂÙ(Áá°ðÅÄÂç³ØÍý¹©³ØÁí¹ç¸¦µæ¥»¥ó¥¿¡¼), ¾¾ËÜ¡¡Î´(Áá°ðÅÄÂç³ØÍý¹©³ØÉôÅŵ¤ÅŻҾðÊ󹩳زÊ)
keywords DS-CDMA, Matched filter, Analog circuit, Spread spectrum, Weighted-sum operation
abstract ¥Ç¥£¥¸¥¿¥ë¥Þ¥Ã¥Á¥È¥Õ¥£¥ë¥¿¤Ï¡¢¾ÃÈñÅÅÎϤ¬Â礭¤¤¤³¤È¤¬ÌäÂê¤Ç¤¢¤Ã¤¿¡£ËÜÏÀʸ¤Ç¤Ï¡¢¥­¥ã¥Ñ¥·¥¿¤Ë¤è¤ëÀÑϱ黻¤òÍѤ¤¤¿Äã¾ÃÈñÅÅÎÏAMF¤òÄã¾ÃÈñÅÅÎÏ¡¦¾®ÌÌÀѤǼ¸½¤·¤¿¡£¼õ¿®¿®¹æ¤ò¥¢¥Ê¥í¥°ÃͤΤޤÞľÀÜ¥µ¥ó¥×¥ê¥ó¥°¤¹¤ë¤³¤È¤Ç¹â®¡¦¹âÀºÅÙ¤ÎA/D¥³¥ó¥Ð¡¼¥¿¤òÉÔÍפȤ·¡¢¸íº¹¤ÎÎßÀѤòËɤ°¤¿¤á¥³¡¼¥É½ä²ó·¿Êý¼°¤òÍѤ¤¤¿¡£0.35¦Ìm CMOS¥×¥í¥»¥¹¤òÍѤ¤¤Æ15¥¿¥Ã¥×ʬ¤Î²óÏ©¤òÁÛÄꤷ¤Æ¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤ò¹Ô¤Ã¤¿·ë²Ì¤«¤é¤Ï¡¢128¥¿¥Ã¥×¤Î¾ì¹ç¤Ç¾ÃÈñÅÅÎÏ30.2mW@25MHzŽ¥3.3V(Simulation Result)¡¢ÌÌÀÑ1.6mm2ÁêÅö¤Ç¤¢¤ê¡¢·ÈÂÓ°ÜưüËöÍÑLSI¤ËÅëºÜ¤¹¤ë¤Î¤Ë½½Ê¬¤Ê¥ì¥Ù¥ë¤ò¼Â¸½¤·¤¿¡£

Âê̾ Algorithms for Digital Correction of ADC Nonlinearity
Ãø¼Ô ¡ûHiroshi Yagi, Haruo Kobayashi(·²ÇÏÂç³Ø¡¡¹©³ØÉô¡¡Åŵ¤ÅŻҹ©³Ø²Ê¡¡), Takanori Komuro, Hiroshi Sakayori(¥¢¥¸¥ì¥ó¥È¡¦¥Æ¥¯¥Î¥í¥¸¡¼¡Ê³ô¡Ë)
keywords ADC, Nonlinearity, Digital Error Correction, Calibration, LSI Tester
abstract This paper describes two digital correction algorithms for ADC nonlinearity, targeted for LSI tester applications: an interpolation algorithm and a stochastic algorithm. Numerical simulations show that our algorithms compensate for ADC nonlinearity and improve ADC SNDR and SFDR



¥»¥Ã¥·¥ç¥ó Ba1-2 ¥Õ¥£¥ë¥¿ (22Æü 10:30¡Á12:10)
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Âê̾ ¼þÇÈ¿ôÊÑ´¹¤ËÂФ¹¤ëϢ³»þ´Ö¥·¥¹¥Æ¥à¤Î2¼¡¥â¡¼¥É¤ÎÉÔÊÑÀ­¤Ë¤Ä¤¤¤Æ
Ãø¼Ô ¡ûÀîËôÀ¯À¬(ÅìËÌÂç³ØÂç³Ø±¡¹©³Ø¸¦µæ²ÊÅŻҹ©³ØÀ칶), ¿å¾åÍÎÍ´(ÅìËÌÂç³Ø¹©³ØÉôÅŻҹ©³Ø²Ê)
keywords Ϣ³»þ´Ö¥·¥¹¥Æ¥à, 2¼¡¥â¡¼¥É, ¼þÇÈ¿ôÊÑ´¹, ¥¢¥Ê¥í¥°¥Õ¥£¥ë¥¿, ¾õÂÖÊýÄø¼°
abstract 2¼¡¥â¡¼¥É¤Ï¡¤¥â¥Ç¥ëÄ㼡¿ô²½¡¤·¸¿ô´¶ÅÙ¤ª¤è¤Ó´Ý¤á¸íº¹¤Î²òÀϤʤɤ˴ØÏ¢¤·¤Æ¶Ë¤á¤Æ½ÅÍפÊÎ̤Ǥ¢¤ë¤³¤È¤¬ÃΤé¤ì¤Æ¤¤¤ë¡¥1¼¡¸µ¤ÎÎ¥»¶»þ´Ö¥·¥¹¥Æ¥à¤Ë¤ª¤¤¤Æ¤Ï¡¤¼þÇÈ¿ôÊÑ´¹¤ËÂФ¹¤ë2¼¡¥â¡¼¥É¤ÎÉÔÊÑÀ­¤¬¾ÚÌÀ¤µ¤ì¤Æ¤ª¤ê¡¤¤³¤ì¤Ë¤è¤Ã¤Æ¥·¥¹¥Æ¥à¤Î¼Â¸½¤ÈưŪÀ­¼Á¤Ë´Ø¤¹¤ë´Ø¤¹¤ë½ÅÍפÊÃ諤¬ÆÀ¤é¤ì¤Æ¤¤¤ë¡¥¤·¤«¤·¡¤Ï¢Â³»þ´Ö¥·¥¹¥Æ¥à¤Ë¤ª¤¤¤Æ¼þÇÈ¿ôÊÑ´¹¤ËÂФ¹¤ë2¼¡¥â¡¼¥É¤ÎÉÔÊÑÀ­¤ÎµÄÏÀ¤Ï¤³¤ì¤Þ¤Ç¤Ê¤µ¤ì¤Æ¤¤¤Ê¤¤¡¥ËÜÊó¹ð¤Ç¤Ï¡¤¥¢¥Ê¥í¥°¥Õ¥£¥ë¥¿¤òÂåɽ¤È¤¹¤ëϢ³»þ´Ö¥·¥¹¥Æ¥à¤Ë¤ª¤¤¤Æ¡¤Äã°è--Äã°è¡¤Äã°è--¹â°è¡¤Äã°è--ÂӰ衤Äã°è--ÂÓ°èÁ˻ߤΤ½¤ì¤¾¤ì¤Î¼þÇÈ¿ôÊÑ´¹¤ËÂФ·¤Æ2¼¡¥â¡¼¥É¤¬ÉÔÊѤǤ¢¤ë¤³¤È¤ò¾ÚÌÀ¤¹¤ë¡¥ ¤Þ¤¿¡¤Ï¢Â³»þ´Ö¥·¥¹¥Æ¥à¤Î2¼¡¥â¡¼¥É¤ÎÉÔÊÑÀ­¤Ë¤Ä¤¤¤ÆµÄÏÀ¤¹¤ë¡¥

Âê̾ Explicit Analysis of RC Polyphase Filter for I, Q Signal Generation and Image Rejection
Ãø¼Ô ¡ûJian Kang, Haruo Kobayashi, Takashi Kitahara, Seiya Takigami, Hiroshi Sadamura(·²ÇÏÂç³Ø¡¡¹©³ØÉô¡¡Åŵ¤ÅŻҹ©³Ø²Ê)
keywords Polyphase Filter, RF Circuit, Image Rejection, Wireless Transceiver, Complex Signal
abstract RC polyphase filters are important components in analog front-ends of wireless transceivers. This paper derives explicit frequency transfer functions for first-, second- and third-order RC polyphase filters, allowing systematic exploitation of their characteristics.

Âê̾ FTFN¤òÍѤ¤¤¿¥¤¥ß¥¿¥ó¥¹ÊÑ´¹´ï¤Î°ì¹½À®
Ãø¼Ô óîÌÚ Î¼(ËÜÅĵ»¸¦¹©¶È(³ô)), ¡ûÊÆ»³ ÃÒÇ·(Ä»¼èÂç³Ø¹©³ØÉôÅŵ¤ÅŻҹ©³Ø²Ê), ²Ï²¬ ÌÐͺ(ÉÙ»ÎẠ̣̈ӣɥƥ¯¥Î¥í¥¸¡¼(³ô)), ÀÐÅÄ ²í(Ä»¼èÂç³ØÁí¹ç¾ðÊó½èÍý¥»¥ó¥¿¡¼), Éû°æ ͵(Ä»¼èÂç³Ø¹©³ØÉôÅŵ¤ÅŻҹ©³Ø²Ê)
keywords FTFN, ¥¤¥ß¥¿¥ó¥¹ÊÑ´¹´ï, ¥¢¥Ê¥í¥°, GIC, FDNC
abstract FTFN¤Ï¶áǯÃíÌܤµ¤ì¤Æ¤­¤¿Ç½Æ°ÁǻҤǤ¢¤ê¡¤¥Õ¥£¥ë¥¿¤Ë´Ø¤¹¤ëÏÀʸ¤Ï¤¤¤¯¤Ä¤«Êó¹ð¤µ¤ì¤Æ¤¤¤ë¤¬¡¤¥¤¥ß¥¿¥ó¥¹ÊÑ´¹´ï¤Ë´Ø¤¹¤ëÏÀʸ¤Ï¡¤¤¢¤Þ¤ê¸¡Æ¤¤µ¤ì¤Æ¤¤¤Ê¤¤¡¥ËÜÏÀʸ¤Ç¤Ï¡¤FTFN¤òÍѤ¤¤¿¥¤¥ß¥¿¥ó¥¹ÊÑ´¹´ï¤ò¹½À®¤·¡¤°ìÈ̲½¼Â¸½²óÏ©¤Ë¤Ä¤¤¤Æ¤â¸¡Æ¤¤¹¤ë¡¥¤Þ¤¿¡¤FDNC¡¤FDNCA¤ò¹½À®¤·¥Õ¥£¥ë¥¿¤ËŬÍѤ·¤ÆPSpice¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤ò¹Ô¤¤Æ°ºî¤ò³Îǧ¤¹¤ë¡¥

Âê̾ OTA¤ÈCC¤òÍѤ¤¤¿LTA¥Õ¥£¥ë¥¿¤Î¹½À®
Ãø¼Ô ¡û²Ï²¬ ÌÐͺ(ÉÙ»ÎÄÌLSI¥Æ¥¯¥Î¥í¥¸³ô¼°²ñ¼Ò), ÀÐÅÄ ²í(Ä»¼èÂç³ØÁí¹ç¾ðÊó½èÍý¥»¥ó¥¿¡¼), Éû°æ ͵(Ä»¼èÂç³Ø¹©³ØÉô)
keywords ¥Õ¥£¥ë¥¿, OTA, CC, LTA, ¥¢¥Ê¥í¥°
abstract ËÜÏÀʸ¤Ç¤Ï, OTA¤ÈCC¤òÍѤ¤¤¿LTA¥Õ¥£¥ë¥¿¤Î¹½À®Ë¡¤Ë¤Ä¤¤¤Æ½Ò¤Ù¤ë. LTA¥Õ¥£¥ë¥¿¤Î´ðËܸ¶Íý¤òÀâÌÀ¤·, ¶ñÂÎŪ¤Ê¥Õ¥£¥ë¥¿¤Î²óÏ©¹½À®¤ò¼¨¤¹. ¤Þ¤¿, PSpice¤Ë¤è¤ë¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤ÇÆ°ºî¤ò¸¡Æ¤¤¹¤ë.



¥»¥Ã¥·¥ç¥ó Bd1-1 ¥Þ¥ë¥Á¥á¥Ç¥£¥¢¿®¹æ½èÍý I (22Æü 9:00¡Á10:15)
ºÂĹ: °¤Éô½Ê¿Í(ÂçÆüËÜ°õºþ)

Âê̾ JPEG2000Éä¹æ²½¤Î¤¿¤á¤ÎROI¤Ë´ð¤Å¤¯Îΰ襹¥±¡¼¥é¥Ó¥ê¥Æ¥£µ¡Ç½¤Î³ÈÄ¥
Ãø¼Ô ¡ûÅÏî´¡¡½¤, µ®²È¡¡¿Î»Ö(ÅìµþÅÔΩÂç³ØÂç³Ø±¡¹©³Ø¸¦µæ²Ê/Åŵ¤¹©³ØÀ칶)
keywords JPEG2000, ROI, ¥¹¥±¡¼¥é¥Ó¥ê¥Æ¥£, ¥×¥í¥°¥ì¥Ã¥·¥ÖºÆÀ¸
abstract ËܹƤǤϡ¢²èÁü¤ÎÆÃÄê¤ÎÎΰè¤Î²è¼Á¤ËÍ¥ÀèÅÙ¤òÍ¿¤¨¤ëÎΰ襹¥±¡¼¥é¥Ó¥ê¥Æ¥£¤Î¼Â¸½Ë¡¤òÄó°Æ¤¹¤ë¡£JPEG2000¤Ç¤Ï¡¢Éä¹æ²½¥Ó¥Ã¥ÈÎó¤Ë¥¹¥±¡¼¥é¥Ó¥ê¥Æ¥£µ¡Ç½¤ò»ý¤¿¤»¤ë¤³¤È¤Ë¤è¤ê¡¢²è¼Á¡¢²òÁüÅÙ¤Þ¤¿¤Ï°ÌÃ֤ʤɤ˽ç°ÌÉÕ¤±¤é¤ì¤¿Ãʳ¬ºÆÀ¸¤¬²Äǽ¤Ç¤¢¤ë¡£JPEG2000¤Ç¤Ï¡¢Îΰ襹¥±¡¼¥é¥Ó¥ê¥Æ¥£¤Î°ì¼Â¸½Ë¡¤È¤·¤Æ¡¢ROI(Regions Of Interest)µ¡Ç½¤¬¤¢¤ë¤¬¡¢¤³¤ì¤ÏÃʳ¬ºÆÀ¸¤ÎºÇ½ª²èÁü¤Ë¤ª¤¤¤Æ¤âÎΰè¤ÎÍ¥ÀèÅ٤λÙÇÛ¤ò¼õ¤±¤ë¡£Äó°ÆË¡¤Ï¡¢¤³¤ÎÌäÂê¤ò²þÁ±¤·¡¢ºÇ½ª²èÁü¤Ç¤ÏÎΰè¤ÎÍ¥ÀèÅ٤λÙÇÛ¤ò¼õ¤±¤ë¤³¤È¤Ê¤¯¡¢Ãæ´Ö²èÁü¤Ë¤ª¤¤¤Æ¤ÏÆÃÄêÎΰè¤Î²è¼Á¤ËÍ¥ÀèÅÙ¤òÍ¿¤¨¤ë¤³¤È¤¬²Äǽ¤Ç¤¢¤ë¡£

Âê̾ ¥ì¥¤¥ä¡¼¹½Â¤¤òÍѤ¤¤¿JPEG2000Éä¹æ²½²èÁü¤Î¥¨¥é¡¼±£ÊÃË¡
Ãø¼Ô ¡û¹õºêÀµ¹Ô, µ®²È¿Î»Ö(ÅìµþÅÔΩÂç³ØÂç³Ø±¡¹©³Ø¸¦µæ²ÊÅŵ¤¹©³ØÀ칶)
keywords JPEG2000, ¥¨¥é¡¼±£ÊÃ, ¥ì¥¤¥ä¡¼¹½Â¤, ÅÅ»ÒÆ©¤«¤·
abstract ËÜÊó¹ð¤Ç¤Ï¡¤JPEG2000¤Ë¤è¤êÉä¹æ²½¤µ¤ì¤¿²èÁü¤òÄÌ¿®¤¹¤ëºÝ¤ËȯÀ¸¤¹¤ë ¥¨¥é¡¼¤ËÂФ¹¤ë¥¨¥é¡¼±£ÊÃË¡¤òÄó°Æ¤¹¤ë¡¥Äó°ÆË¡¤Ï¡¤JPEG2000¤Îµ¡Ç½¤Î °ì¤Ä¤Ç¤¢¤ë¥ì¥¤¥ä¡¼¹½Â¤¤ò»ÈÍѤ¹¤ë¡¥JPEG2000Éä¹æÎó¤Ë¤ª¤¤¤Æ½ÅÍ×Å٤Π¹â¤¤¾å°Ì¥ì¥¤¥ä¡¼¤Î¾ðÊó¤ò²¼°Ì¥ì¥¤¥ä¡¼¤ËËä¤á¹þ¤ß¡¤¾å°Ì¥ì¥¤¥ä¡¼¤Ë¥¨ ¥é¡¼¤¬È¯À¸¤·¤¿¾ì¹ç¤Ë¤½¤ÎËä¤á¹þ¤ß¾ðÊó¤òÍøÍѤ·¡¤¥¨¥é¡¼±£Êäò¹Ô¤¦¡¥ ¤³¤Î¤è¤¦¤Ë¾å°Ì¥ì¥¤¥ä¡¼¤òÆó½Å²½¤¹¤ëÍýͳ¤Ï¡¤JPEG2000¤Ï¡¤¥Ó¥Ã¥È¥×¥ì ¡¼¥óÉä¹æ²½¤ò»ÈÍѤ·¤Æ¤ª¤ê¡¤¾å°Ì¤Î¥Ç¡¼¥¿¤Ë¥¨¥é¡¼¤¬È¯À¸¤¹¤ë¤È²¼°Ì¤Î ¥Ç¡¼¥¿¤¬°ÕÌ£¤ò¤Ê¤µ¤Ê¤¯¤Ê¤Ã¤Æ¤·¤Þ¤¦¤«¤é¤Ç¤¢¤ë¡¥Äó°ÆË¡¤Ï¡¤JPEG2000 ¤Î¥Ç¡¼¥¿¹½Â¤¤òÊÝ»ý¤¹¤ë¤¿¤á¡¤JPEG2000¤Îɸ½à¥¨¥é¡¼ÂÑÀ­µ¡Ç½¤ò²¼¸Â¤È ¤·¤ÆÊÝ»ý¤·¡¤¤«¤Ä¡¤ÈÆÍѥǥ³¡¼¥À¤Ç¤ÎÉü¹æ¤â²Äǽ¤Ç¤¢¤ë¡¥¼ÂºÝ¤Î²èÁü¤ò ÍѤ¤¤¿¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤ò¹Ô¤¤¡¤Äó°ÆË¡¤ÎÍ­¸úÀ­¤ò¼¨¤¹¡¥

Âê̾ Îΰèʬ³äÉä¹æ²½¤Î¤¿¤á¤ÎºÇŬ¥Ó¥Ã¥ÈÇÛʬ
Ãø¼Ô ¡û°ËÆ£²í»Ë, º£¾ë¼çÀÇ, Ê¡´Ö¿µ¼£, À¾Â¼ÀµÂÀϺ(Å纬Âç³ØÁí¹çÍý¹©³ØÉôÅÅ»ÒÀ©¸æ¥·¥¹¥Æ¥à¹©³Ø²Ê)
keywords JPEG2000, ¥µ¥Ö¥Ð¥ó¥ÉÉä¹æ²½, ¶½Ì£Îΰè(ROI)Éä¹æ²½, ºÇŬ¥Ó¥Ã¥ÈÇÛʬ
abstract ¶áǯºöÄꤵ¤ì¤¿JPEG2000¤Ç¤Ï,¥µ¥Ö¥Ð¥ó¥ÉÉä¹æ²½(SBC)¤¬ºÎÍѤµ¤ì¤Æ¤¤¤ë.¤Þ¤¿,JPEG2000¤Ë¤Ï½¾Íè¤ÎJPEG¤Ë¤Ï¤Ê¤¤,¿·¤¿¤Êµ¡Ç½¤Ç¤¢¤ë¶½Ì£Îΰè(ROI)Éä¹æ²½¤¬¥µ¥Ý¡¼¥È¤µ¤ì¤Æ¤¤¤ë¡¥ROIÉä¹æ²½¤È¤Ï,²èÁü¤ò¶½Ì£Îΰè¤È¤½¤Î¾¤ÎÎΰè¤Ç¤¢¤ëÈó¶½Ì£Îΰè¤Ëʬ³ä¤·,¶½Ì£Îΰè¤Ë¤Ä¤¤¤Æ¤ÏÏĤò¾®¤µ¤¯¤·,°ìÊý,Èó¶½Ì£Îΰè¤Ë¤Ä¤¤¤Æ¤ÏÈæ³ÓŪÂ礭¤ÊÏĤòµöÍƤ¹¤ë¤³¤È¤Ë¤è¤ê,¸úΨ¤è¤¯²èÁü¤ò°µ½Ì¤Ç¤­¤ëÊý¼°¤Ç¤¢¤ë. ËÜÊó¹ð¤Ç¤Ï,¤³¤ì¤Þ¤Ç¤¢¤Þ¤êµÄÏÀ¤µ¤ì¤Æ¤³¤Ê¤«¤Ã¤¿ROIÉä¹æ²½¤Ë¤ª¤±¤ëºÇŬ¥Ó¥Ã¥ÈÇÛʬÊýË¡¤Ë¤Ä¤¤¤Æ¹Í»¡¤·, SBC¤Ë´Ø¤¹¤ëºÇŬ¥Ó¥Ã¥ÈÇÛʬ¤È,½¾Íè¤ÎJPEG¤Ë¤ª¤¤¤ÆÍѤ¤¤é¤ì¤Æ¤¤¤ëDCTÉä¹æ²½¤Ë´Ø¤¹¤ëºÇŬ¥Ó¥Ã¥ÈÇÛʬˡ¤ò¸¡Æ¤¤¹¤ë.



¥»¥Ã¥·¥ç¥ó Bd1-2 ¥Þ¥ë¥Á¥á¥Ç¥£¥¢¿®¹æ½èÍý II (22Æü 10:30¡Á12:10)
ºÂĹ: À¾ÀîÀ¶»Ë(ÅÔΩÂç)

Âê̾ ´°Á´ºÆ¹½À®¥Ç¡¦¥¤¥ó¥¿¥ì¡¼¥¹²½½èÍý¤Î¥ê¥Õ¥Æ¥£¥ó¥°¼ÂÁõ
Ãø¼Ô ¡ûÁ¾»³¡¡Îµ³¤, ÀÐÅÄ¡¡ÂóËû, ¼¾¾¡¡Àµ¸ã, µÆÃÓ¡¡µ×ÏÂ(¿·³ãÂç³Ø¹©³ØÉô), µ×²¼¡¡Å¯Ïº(NHKÊüÁ÷µ»½Ñ¸¦µæ½ê)
keywords ´°Á´ºÆ¹½À®¥Ç¡¦¥¤¥ó¥¿¥ì¡¼¥¹²½, ¥ê¥Õ¥Æ¥£¥ó¥°¼ÂÁõ, FPGA, Motion-JPEG2000
abstract ËÜÊó¹ð¤Ç¤Ï¡¢´°Á´ºÆ¹½À®¥Ç¡¦¥¤¥ó¥¿¥ì¡¼¥¹²½½èÍý¤Î¥ê¥Õ¥Æ¥£¥ó¥°¼ÂÁõ¤Ë¤Ä¤¤¤Æ½Ò¤Ù¤ë¡£¤Þ¤º¡¢´°Á´ºÆ¹½À®¥Ç¡¦¥¤¥ó¥¿¥ì¡¼¥¹²½½èÍý¤Ë¤Ä¤¤¤Æ½Ò¤Ù¡¢¤½¤Î¥Õ¥£¥ë¥¿¤Î¸ú²ÌŪ¼Â¸½Ë¡¤ò¼¨¤¹¡£¤½¤·¤Æ¡¢¥ê¥Õ¥Æ¥£¥ó¥°DWT¡ÊÎ¥»¶¥¦¥¨¡¼¥Ö¥ì¥Ã¥ÈÊÑ´¹¡Ë¤È¤³¤Î¥Ç¡¦¥¤¥ó¥¿¥ì¡¼¥¹²½½èÍý¤òÁȤ߹ç¤ï¤»¤¿¥¢¡¼¥­¥Æ¥¯¥Á¥ã¤òÄó°Æ¤·¡¢ÊÌ¡¹¤Ë¼ÂÁõ¤·¤¿¾ì¹ç¤È¤ÎÀ­Ç½Èæ³Ó¤ò¹Ô¤¦¡£¤Þ¤¿¡¢One-MAC¹½À®¤Î¥ê¥Õ¥Æ¥£¥ó¥°¥¢¡¼¥­¥Æ¥¯¥Á¥ã¡¢¥Ç¡¦¥¤¥ó¥¿¥ì¡¼¥¹²½½èÍý¤ò´Þ¤àOne-MAC¹½À®¥ê¥Õ¥Æ¥£¥ó¥°¥¢¡¼¥­¥Æ¥¯¥Á¥ã¤Ë¤Ä¤¤¤Æ¤âÀ­Ç½É¾²Á¤ò¹Ô¤¦¡£¥Ç¡¦¥¤¥ó¥¿¥ì¡¼¥¹²½½èÍý¤òDWT¥ê¥Õ¥Æ¥£¥ó¥°¥¢¡¼¥­¥Æ¥¯¥Á¥ã¤ËÁȤ߹þ¤à¤³¤È¤ÇÊÌ¡¹¤Ë¼ÂÁõ¤·¤¿¾ì¹ç¤ËÈæ¤Ù¤Æ¥²¡¼¥È¿ô¤òºï¸º¤Ç¤­¤ë¤³¤È¤ò¼¨¤¹¡£

Âê̾ MPEG-4¥Ó¥Ç¥ªÉä¹æ²½¤Ë¤ª¤±¤ë¥¨¥é¡¼±£ÊÃ¥¢¥ë¥´¥ê¥º¥à¤ÎÄó°Æ
Ãø¼Ô ¡ûÁס¡³ØÒÙ, Altan-Erdene Shiitev(ÂçºåÂç³Ø/Âç³Ø±¡¹©³Ø¸¦µæ²Ê¾ðÊó¥·¥¹¥Æ¥à¹©³ØÀ칶), ²¬ÅÄ¡¡¹À¹Ô(¥·¥ã¡¼¥×/¾ðÊó²ÈÅų«È¯¥»¥ó¥¿¡¼), Æ£ÅÄ¡¡¸¼(ÂçºåÂç³Ø/Âç³Ø±¡¹©³Ø¸¦µæ²Ê¾ðÊó¥·¥¹¥Æ¥à¹©³ØÀ칶), Èø¾å¡¡¹§Íº(µþÅÔÂç³Ø/Âç³Ø±¡¾ðÊó³Ø¸¦µæ²ÊÄÌ¿®¾ðÊó¥·¥¹¥Æ¥àÀ칶), ÇòÀî¡¡¸ù(ÂçºåÂç³Ø/Âç³Ø±¡¹©³Ø¸¦µæ²Ê¾ðÊó¥·¥¹¥Æ¥à¹©³ØÀ칶)
keywords MPEG-4, ¥¨¥é¡¼±£ÊÃ, ¥Ï¥¤¥Ö¥ê¥Ã¥É
abstract Ëܸ¦µæ¤Ç¤Ï¡¤Æ°²èÁüÉä¹æ²½¤Ë¤ª¤±¤ë¹âÀ­Ç½¤Ê»þ¶õ´Ö¥Ï¥¤¥Ö¥ê¥Ã¥ÉÊý¼°¤Ë¤è¤ë¥¨¥é¡¼±£ÊÃ¥¢¥ë¥´¥ê¥º¥à¤òÄó°Æ¤¹¤ë¡¥Æ°²èÁüÅÁÁ÷¤Î»þ¤ËȯÀ¸¤¹¤ë¥¨¥é¡¼¤ËÂФ·¤Æ¡¤¤³¤ì¤Þ¤ÇÍÍ¡¹¤Ê¥¨¥é¡¼±£ÊÃ¥¢¥ë¥´¥ê¥º¥à¤¬Äó°Æ¤µ¤ì¤Æ¤¤¤ë¤¬¡¤¥¨¥é¡¼¥ì¡¼¥È¤ä²èÁü¤ÎÀ­¼Á¤Ë¤è¤ê±£ÊÃÀ­Ç½¤¬ÊѲ½¤·¡¤°ÂÄꤷ¤¿À­Ç½¤ò»ý¤Ä¥¢¥ë¥´¥ê¥º¥à¤Ï¾¯¤Ê¤¤¡¥Äó°Æ¥¢¥ë¥´¥ê¥º¥à¤Ç¤ÏÆ°¤­¥Ù¥¯¥È¥ë¤Î»þ´ÖŪ¶õ´ÖŪÁê´ØÀ­¤Ë´ð¤Å¤¤¤¿¸¡½ÐÊý¼°¤òºÎÍѤ¹¤ë¤³¤È¤Ë¤è¤ê±é»»Î̤òºï¸º¤·¡¤¤µ¤é¤Ë²þÎÉÀþ·ÁÊä´ÖË¡¤ÈÁȹ礻¤¿¥Ï¥¤¥Ö¥ê¥Ã¥ÉÊý¼°¤Ë¤è¤Ã¤Æ¹âÀºÅ٤ʱ£ÊÃÀ­Ç½¤ò¼Â¸½¤¹¤ë¡¥MPEG-4¥½¥Õ¥È¥¦¥§¥¢¥Ç¥³¡¼¥À¤òÍѤ¤¤Æ¡¤¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤ò¹Ô¤Ã¤¿·ë²Ì¡¤Äó°Æ¥¢¥ë¥´¥ê¥º¥à¤ÏÍÍ¡¹¤Ê¥¨¥é¡¼¥ì¡¼¥È¤ä²èÁü¥·¡¼¥±¥ó¥¹¤ËÂФ·¡¤¼ç´ÑŪ¤ª¤è¤ÓµÒ´ÑŪ¤ËÎɤ¤À­Ç½¤ò¼¨¤¹¤³¤È¤ò³Îǧ¤·¤¿¡¥

Âê̾ 3-Dimensional Significance Descriptor for Content-Based Video Retrieval
Ãø¼Ô ¡ûĹëÉôÁï, ¼¾¾Àµ¸ã, º´¡¹Ìڽſ®, µÆÃÓµ×ÏÂ(¿·³ãÂç³Ø¹©³ØÉô)
keywords Æ°²èÁü¸¡º÷, ÆâÍÆ·¿¸¡º÷, ¥¦¥§¡¼¥Ö¥ì¥Ã¥ÈÊÑ´¹
abstract This paper presents a new representation that describes the significant video contents and leads to an effective and efficient¡¡content-based video retrieval. The three-dimensional significant descriptor is constructed based on a three-dimensional wavelet transform. A prototypeimplementation of a content-based video retrieval system is given.

Âê̾ ²»À¼¤ÎÅý·×¥Ç¡¼¥¿¤Ë´ð¤Å¤¤¤¿MP3¥¨¥ó¥³¡¼¥À¤ÎÀ߷פÈɾ²Á
Ãø¼Ô ¡û¿À»³¡¡ÃÒ¾Ï, Íû¡¡¼Ç¹ä(Å쳤Âç³ØÂç³Ø±¡¹©³Ø¸¦µæ²Ê), À¶¿å¡¡¾°É§(Å쳤Âç³ØÅŻҾðÊó³ØÉô¥³¥ß¥å¥Ë¥±¡¼¥·¥ç¥ó¹©³Ø²Ê)
keywords MP3, ÈóÀþ·ÁÎ̻Ҳ½, ²»À¼°µ½Ì
abstract ¶áǯ¡¢¹­¤¯ÍѤ¤¤é¤ì¤Æ¤¤¤ë²»À¼°µ½Ìµ»½Ñ¤È¤·¤ÆMP3¤¬¤¢¤ë¡£ ¤·¤«¤·¡¢MP3¤Î¥¨¥ó¥³¡¼¥É½èÍý¤ÏÈó¾ï¤Ë·×»»Î̤襤½èÍý¤Ç¤¢¤ë¡£ ¤½¤ÎÃæ¤Ç¡¢ÆäËÈóÀþ·ÁÎ̻Ҳ½¤Ï¿¤¯¤Î¥¦¥¨¥¤¥È¤òÀê¤á¤ë¡£ ¤½¤³¤ÇËÜÏÀʸ¤Ç¤Ï¡¢²»À¼¥Ç¡¼¥¿¤ÎÅý·×¥Ç¡¼¥¿¤òÍѤ¤¤ë¤³¤È¤Ë¤è¤ê¡¢ ½èÍý¤ò¹â®¤Ë¤¹¤ë¥¢¥ë¥´¥ê¥º¥à¤òÄó°Æ¤¹¤ë¡£ ¤³¤ì¤Ë¤è¤ê¡¢ÈóÀþ·ÁÎ̻Ҳ½¤Î²ó¿ô¤òºï¸º¤·¡¢ MP3¥¨¥ó¥³¡¼¥ÀÁ´ÂΤι⮲½¤ò¿Þ¤ë¤³¤È¤¬¤Ç¤­¤ë¡£



¥»¥Ã¥·¥ç¥ó C1-1 ¥Õ¥í¥¢¥×¥é¥ó (22Æü 9:00¡Á10:10)
ºÂĹ: ÃæÉðÈ˼÷(Ë̶彣»ÔΩÂç)

Âê̾ ʬ³ä¤ª¤è¤ÓºÆÇÛÃ֤˴ð¤Å¤¯2¼¡¸µÇÛÃÖºÇŬ²½¼êË¡
Ãø¼Ô ¡û¹âÅç ¹¯Íµ, ¶â»Ò ů(ËÌΦÀèü²Ê³Øµ»½ÑÂç³Ø±¡Âç³Ø/¾ðÊó²Ê³Ø¸¦µæ²Ê), º´Æ£ ¿¿»Ê(¥Þ¥¤¥¯¥í¥¢¡¼¥¯³ô¼°²ñ¼Ò), ¶â»Ò Êöͺ(ËÌΦÀèü²Ê³Øµ»½ÑÂç³Ø±¡Âç³Ø/¾ðÊó²Ê³Ø¸¦µæ²Ê)
keywords Simulated Quenching, 2¼¡¸µÇÛÃÖ, ·«¤êÊÖ¤·ºÇŬ²½, ʬ³ä, ÇÛÀþĹ
abstract VLSI¥ì¥¤¥¢¥¦¥ÈÀ߷פˤª¤¤¤Æ, ¥³¥ó¥Ý¡¼¥Í¥ó¥È¤Î2¼¡¸µÇÛÃÖÌäÂê¤ÏÃ濴ŪÀ߷ײÝÂê¤Î°ì¤Ä¤Ç¤¢¤ë. Ëܸ¦µæ¤Ç¤Ï, 1¼¡¸µÇÛÃÖÌäÂê¤ËÂФ·¤Æ, ÎɼÁ¤Î²ò¤ò¹â®¤ËÆÀ¤ë¤³¤È¤¬¤Ç¤­¤ëSimulated Quenching(SQ)Ë¡¤ËÃåÌܤ·, 2¼¡¸µÇÛÃÖÌäÂê¤ÎºÇŬ²½¼êË¡¤òÄó°Æ¤¹¤ë. ¤Þ¤¿¡¤¤³¤Î¼êË¡¤Ç¡¤°ìÈÌŪ¤Ê¼ÂÁõ¤ÎSA¤ÈÈæ³Ó¤·¤Æ, ƱÅù¤Î²ò¤ò¤è¤ê¹â®¤ËÆÀ¤ë¤³¤È¤¬¤Ç¤­¤ë¤³¤È¤ò¼Â¸³¤Ë¤è¤Ã¤Æ³Î¤«¤á¤¿.

Âê̾ ÇÛÀþÎΰè¤ò¹Íθ¤·¤¿¥Á¥Ã¥×¥µ¥¤¥º¸«ÀѤâ¤ê¼êË¡
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keywords ³µÎ¬ÇÛÀþ, ¥³¥ó¥Ñ¥¯¥·¥ç¥ó, À©Ìó¥°¥é¥Õ, ÁÐÂÐ¥°¥é¥Õ
abstract ËܹƤǤϡ¤³µÎ¬ÇÛÀþ¤ò¼Â¹Ô¤·¡¤¤½¤Î·ë²Ì¤ò´ð¤ËÇÛÀþÎΰè¤ò³ÎÊݤ·¤Ê¤¬¤é²óÏ©¤Î¥³¥ó¥Ñ¥¯¥·¥ç¥ó¤ò¹Ô¤¦¼êË¡¤òÄó°Æ¤¹¤ë¡¥¥³¥ó¥Ñ¥¯¥·¥ç¥ó¤Î·ë²ÌÆÀ¤é¤ì¤¿¥ì¥¤¥¢¥¦¥È¤ò°Ï¤àºÇ¾®¤Î¶ë·Á¤¬¥Á¥Ã¥×¥µ¥¤¥º¤È¤Ê¤ë¡¥¥¢¥Ê¥í¥°²óÏ©¤òÂоݤȤ·¤Æ¤¤¤ë¤¿¤á¡¤ÇÛÀþ¤È¥â¥¸¥å¡¼¥ë¤¬Æ±Áؤ˸ºß¤¹¤ë¾ì¹ç¤¬Â¿¤¯¡¤¥³¥ó¥Ñ¥¯¥·¥ç¥ó¤ÎºÝ¤Ë¤ÏÇÛÀþ¤ÎÌÌÀѤâ¹Íθ¤¹¤ëɬÍפ¬¤¢¤ë¡¥ËܼêË¡¤Ç¤Ï¡¤¥³¥ó¥Ñ¥¯¥·¥ç¥ó¤Î¼Â¹Ô¤Ë»ÈÍѤ¹¤ë¾å²¼º¸±¦À©Ìó¥°¥é¥Õ¤ÎÁÐÂÐ¥°¥é¥Õ¾å¤Ç³µÎ¬ÇÛÀþ¤ò¹Ô¤¦¡¥³µÎ¬ÇÛÀþ¥°¥é¥Õ¤Î»Þ¤òÄ̲᤹¤ë¥Í¥Ã¥È¤Î¿ô¤«¤éɬÍפÊÇÛÀþÎΰè¤ò·×»»¤·¡¤¤½¤ì¤ò¾å²¼º¸±¦À©Ìó¥°¥é¥Õ¤Î»Þ½Å¤ß¤Ë²Ã¤¨¤ë¤³¤È¤Ë¤è¤ê¡¤ÇÛÀþ·ë²Ì¤ò¥³¥ó¥Ñ¥¯¥·¥ç¥ó¤ËÈ¿±Ç¤µ¤»¤ë¤³¤È¤¬¤Ç¤­¤ë¡¥¤³¤Î¼êË¡¤ò·×»»µ¡¼ÂÁõ¤·´Êñ¤Ê¥Ç¡¼¥¿¤òŬÍѤ·¤¿¤È¤³¤í¡¢¥Á¥Ã¥×¥µ¥¤¥º¤Î¸«ÀѤâ¤êÃͤϾܺÙÇÛÀþ¸å¤Î¤â¤Î¤È¤Û¤ÜÅù¤·¤¯¤Ê¤Ã¤¿¡¥

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keywords Q-sequence, Simulated AnnealingË¡, ¶õ¤­Éô²°, ¥Õ¥í¥¢¥×¥é¥ó, ¥Ñ¥Ã¥­¥ó¥°
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keywords £Ã¥Ù¡¼¥¹Àß·×, £Ã£ù£â£å£ò, £Ã£ì£á£ó£ó£Í£á£ô£å, Æ°ºî¹çÀ®, £Ã¡Ü¡Ü¥·¥ß¥å¥ì¡¼¥¿
abstract £Ó£Ï£Ã¤ÎÀ߷פËÂФ¹¤ë£Ò£Ô£ÌÀß·×¼êË¡¤Ï¤¹¤Ç¤Ë¸Â³¦¤Ë㤷¤Æ¤¤¤ë¡£¤³¤ì¤ËÂå¤ï¤ë¿·¤·¤¤Àß·×¥Õ¥í¡¼¤È¤·¤Æ²æ¡¹¤¬¹½ÃÛ¤·¤¿£Ã£ù£â£å£ò¡¢£Ã£ì£á£ó£ó£Í£á£ô£å¤òÃæ³Ë¤È¤¹¤ë£Ã¸À¸ì¥Ù¡¼¥¹Àß·×¥Õ¥í¡¼¤ò¾Ò²ð¤·¡¢£Ò£Ô£Ì¼êË¡¤ËÈæ¤Ù¡¢µ­½Ò¤ÎÀ¸»ºÀ­¤ÇÊ¿¶Ñ8ÇÜ¡¢¸¡¾Ú¤Î£Ô£Á£Ô¤Ç£µ£°¡Ý£²£µ£°Çܹ⮤Ǥ¢¤ë¤³¤È¤ò¶ñÂÎŪ¤ÊÀß·×Îã¤Ç¼¨¤¹¡£¤¢¤ï¤»¤Æ¤³¤Î¤è¤¦¤ÊÀß·×¥Õ¥í¡¼¤Î±äĹÀþ¾å¤Ç¤Ï¡¢£Ò£Ô£Ì¤Î¸¡¾Ú¤Ï£Ã¸À¸ì¸¡¾Ú¤È£Æ£Ð£Ç£Á¤ËÃÖ¤­´¹¤ï¤ê¡¢¥Ï¡¼¥É¥¦¥§¥¢¡¦¥¨¥ó¥¸¥Ë¥¢¤Î¥½¥Õ¥È²½¤¬¿ÊŸ¤·¡¢¥½¥Õ¥È¡¢¥Ï¡¼¥É¤Î°ìÂΤȤʤ俶¨Ä´¸¡¾Ú´Ä¶­¤¬¾­ÍèŪ¤ËÉáµÚ¤¹¤ë¤Ç¤¢¤ë¤È¤ÎŸ˾¤ò½Ò¤Ù¤ë¡£

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abstract ·ÈÂÓüËöÍÑLSI¤ËÂåɽ¤µ¤ì¤ë¿®¹æ½èÍýÍѤΥ·¥¹¥Æ¥àLSI¹½À®¤Ç¤Ï¡¢ÈÆÍÑCPU¤ÈÆÃÄ꥿¥¹¥¯¤Î²Ã®µÚ¤Óʬ³ä½èÍý¤¹¤ëÀìÍѥϡ¼¥É¥¦¥§¥¢°¿¤¤¤ÏÈÆÍÑDSP¤È¤¬¥Ð¥¹¤ò²ð¤·¤Æ·ë¹ç¤µ¤ì¤ë¡£ËܹƤǤÏÆÃÄ꥿¥¹¥¯¤ÎÀß·×Ãʳ¬¤Ë¤ª¤¤¤Æ¥·¥¹¥Æ¥àLSI¹½À®¤ËɬÍפʻñ¸»µÚ¤ÓÀ­Ç½¤òºÇŬ²½¤¹¤ëÌÜŪ¤Ç¡¢½ÀÆð¤ÊÌ¿ÎáÄêµÁÍÑ¥¤¥ó¥¿¥Õ¥§¡¼¥¹¤Î²¼¤Ç¥×¥í¥»¥Ã¥µ¤òC¸À¸ì¤«¤éÆ°ºî¹çÀ®¤·¡¢¹ç¤ï¤»¤Æ¥¯¥í¥Ã¥¯¥µ¥¤¥¯¥ëÀºÅÙC++¸¡¾Ú´Ä¶­¤ò¼«Æ°À¸À®¤¹¤ë¼êË¡¤òÄó°Æ¤¹¤ë¡£¤½¤Î¼êË¡¤ÎÍ­¸úÀ­¤Ë¤Ä¤¤¤Æ¡¢C¸À¸ìÀß·×¥·¥¹¥Æ¥àCyberµÚ¤ÓClassMate¡Ê³«È¯¥³¡¼¥É̾¡Ë¤òÍѤ¤¤¿¿®¹æ½èÍýÍÑ¥·¥¹¥Æ¥àLSIÀ߷פؤÎŬÍÑÎã¤Ë¤è¤ê¼Â¾Ú¤·¡¢¹¹¤Ë»ÅÍÍÊѹ¹¤Ë½ÀÆð¤Ê¥¤¥ó¥¯¥ê¥á¥ó¥¿¥ë·¿¥â¥Ç¥ëÀß·×¼êË¡¤Î»ëÅÀ¤Ç½Ò¤Ù¤ë¡£



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keywords ¥Ú¥È¥ê¥Í¥Ã¥È, ¥Þ¡¼¥­¥ó¥°¹½À®ÌäÂê, ²ÄãÌäÂê, ȯ¸«Åª²òË¡
abstract ËÜÏÀʸ¤Ï¥Ú¥È¥ê¥Í¥Ã¥È¤Î¥Þ¡¼¥­¥ó¥°¹½À®ÌäÂê(MCP: Marking Construction Problem)¤ËÂФ¹¤ëȯ¸«Åª²òË¡¤òÄó°Æ¤·¡¢´û¸¼êË¡¤È·×»»µ¡¼Â¸³¤Ë¤è¤êÀ­Ç½Èæ³Ó ¤ò¤¹¤ë¡¥MCP ¤Ï¡¤``¥Ú¥È¥ê¥Í¥Ã¥È N¡¤½é´ü¥Þ¡¼¥­¥ó¥° M¡¤ÌÜɸ¥Þ¡¼¥­¥ó¥° M' ¤¬Í¿¤¨¤é¤ì¤¿»þ¡¤M ¤«¤é¥È¥é¥ó¥¸¥·¥ç¥ó¤Îȯ²Ð¤Ë¤è¤êÁ«°Ü²Äǽ¤Ê¥Þ¡¼ ¥­¥ó¥°¤Î¤¦¤Á¤Ç M' ¤ËºÇ¤â¶á¤¤¥Þ¡¼¥­¥ó¥° M'' ¤òµá¤á¤è''¤È¤¤¤¦ÌäÂê¤Ç ¤¢¤ë¡¥¤³¤³¤Ç M' ¤È M'' ¤ËÂФ·¡¤º¹Ê¬¤ÎÀäÂÐÃÍÁíϤò¹Í¤¨¡¤¤³¤ì¤¬ºÇ¾® ¤Ç¤¢¤ë¤³¤È¤ò M'' ¤Ï M' ¤ËºÇ¤â¶á¤¤¤È¸À¤¦¤³¤È¤Ë¤¹¤ë¡¥ MCP¤Ï°ìÈÌŪ¤Ë¤ÏNP-º¤Æñ¤Ç¤¢¤ë¤Î¤Ç¡¢È¯¸«Åª²òË¡¤¬Äó°Æ¤µ¤ì¤Æ¤¤¤ë¡£

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abstract À¤³¦Åªµ¬ÌϤǷ«¤ê¹­¤²¤é¤ì¹ñ¶­¤Î̵¤¯¤Ê¤ê¤Ä¤Ä¤¢¤ëÈÎÇ䶥Áè¤ä¡¤ Ë­É٤ʾðÊóÎ̤ËÌܤòÈ¤¿¾ÃÈñ¼Ô¤Îή¹Ô¤êÇѤê¤Î·ã¤·¤µ¤Ï¡¤ À½Éʼ÷Ì¿¤ÎûÎ𲽤¹¤Ê¤ï¤ÁÀ½Éʳ«È¯¥µ¥¤¥¯¥ë¤ÎĶû´ü²½¤ò ´ë¶È¤Ë;µ·¤Ê¤¯¤µ¤»¤Æ¤¤¤ë¡¥ À½Éʤò¤è¤êÁ᤯»Ô¾ì¤Ë½Ð²Ù¤¹¤ë¤¿¤á¤Ë¿¿ô¤Î¿Íºà¤òƳÆþ¤·¡¤ ¤½¤ÎÈñÍѤòÆÀ¤ë¤¿¤á¤ËÂçÎ̤οͰ÷¤òºï¸º¤¹¤ë´ë¶È¤â¾¯¤Ê¤¯¤Ï¤Ê¤¤¡¥ À½Éʤγ«È¯¥³¥¹¥È¤Îºï¸º¤Ï¡¤²ÐµÞ¤Î½èÍý¤òÍפ¹¤ëÌäÂê¤Ç¤¢¤ë¡¥ ²æ¡¹¤Ï¡¤À½ÉÊÀ½Â¤¤Ë¤ª¤±¤ëºî¶È¤ä»ñ¸»ÀßÈ÷¤Î¥Ç¡¼¥¿¤«¤é À¸»º¹©¾ì¤ò¥³¥ó¥«¥ì¥ó¥È¤Ë·×²è¤¹¤ë¥·¥¹¥Æ¥à¤Ë¤Ä¤¤¤Æ¸¦µæ¤ò¹Ô¤Ã¤Æ¤¤¤ë¡¥ ¤³¤³¤Ç¤ÏÀ½Éʤκî¶È¤Î½èÍý½ç½ø¡¤»ñ¸»¤Ë³ä¤êÅö¤Æ¤ëºî¶È¤Î¸Ä¿ô¡¤ »ñ¸»¤ÎÇÛÃÖ¤òͽ¬¤·¤Ê¤¬¤é¹©¾ì¤ËƳÆþ¤¹¤ë»ñ¸»¤ò·èÄꤹ¤ë ¥¨¡¼¥¸¥§¥ó¥È¤Ë¤Ä¤¤¤ÆµÄÏÀ¤¹¤ë¡¥ ¤³¤ì¤Ë¤è¤ê·×²è¥Õ¥£¡¼¥É¥Ð¥Ã¥¯¤Ë¤è¤ë»þ´ÖŪ¶âÁ¬ÅªÂ»¼º¤ÎÄ㸺¤¬ ͽÁÛ¤µ¤ì¤ë¡¥·èÄêÍ×ÁǤÎÇüÂç¤Ê¿ô¤ÎÁȤ߹ç¤ï¤»¤«¤é¤Ê¤ë¾õÂÖ¶õ´Ö¤Ë ¤ª¤¤¤Æ¤ÏÁ´Ãµº÷¤¬ÉÔ²Äǽ¤Ë¶á¤¤¤Î¤Ç¡¤²ò¤òȯ¸«Åª¤Ëõº÷¤¹¤ë¼êË¡¤È ¤·¤Æ¥Þ¥ë¥Á¥¨¡¼¥¸¥§¥ó¥È¤Ë¤è¤ë³Ø½¬¤òÍѤ¤¤ë¡¥

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keywords ÂÔ¤Á¹ÔÎó, ³ÎΨÈæ³Ó, ¥Ð¥Ã¥ÁÅþÃå, ήÂÎÆþÎÏ, Áê´Ø
abstract °Ê²¼¤ÎÆÃħ¤ò¤â¤Ä¥Ð¥Ã¥ÁÅþÃå¤Î¤¢¤ëήÂÎÆþÎÏÂÔ¤Á¹ÔÎó¥·¥¹¥Æ¥à¤Ë¤Ä¤¤¤Æ¹Í»¡¤¹¤ë¡¥µÒ¤Ï°ì¿Í¤º¤ÄÂÔ¤Á¹ÔÎó¥·¥¹¥Æ¥à¤ËÅþÃ夷¡¤µÒ¤Î»ý¤Á¹þ¤à»Å»ö¤Ï¡¤°ìöͭ¸Â¥µ¥¤¥º¤Î¥Ð¥Ã¥Õ¥¡¤Ë³ÊǼ¤µ¤ì¡¤¤½¤Î¸å¡¤°ìÄê¤Î®Å٤ǽèÍý¤µ¤ì¤ë¡¥µÒ¤Î»ý¤Á¹þ¤à»Å»öÎ̤¬¥Ð¥Ã¥Õ¥¡Æâ¤Î¶õ¤­ÍÆÎ̤è¤êÂ礭¤¤¾ì¹ç¤Ï¡¤¶õ¤­ÍÆÎ̤ËÅù¤·¤¤»Å»öÎ̤Τߤ¬¥·¥¹¥Æ¥à¤Ë¼õ¤±Æþ¤ì¤é¤ì¡¤¤½¤ì°Ê³°¤Ï»¼º¤È¤Ê¤ë¡¥¤³¤Î¥¿¥¤¥×¤ÎÂÔ¤Á¹ÔÎó¥·¥¹¥Æ¥à¤Ï¡¤°ìÈ̤ˤϲòÀÏŪ¤Ê¼è¤ê°·¤¤¤Ïº¤Æñ¤Ç¤¢¤ë¤¬¡¤ËÜÏÀʸ¤Ç¤Ï¡¤directionally convex ordering¤Î³µÇ°¤òÍѤ¤¤Æ¡¤Â»¼º»Å»öÎ̤ξå¸Â¤òɾ²Á¤¹¤ë¼°¤òƳ¤¯¡¥¤Þ¤º¡¤»Å»öÎ̲áÄø¤ÎÁê´Ø¤¬Â礭¤¤¤Û¤É¡¤¤Þ¤¿ÅþÃå´Ö³Ö²áÄø¤ÎÁê´Ø¤¬Â礭¤¤¤Û¤É¡¤Â»¼º»Å»öÎ̤ϳÎΨŪ¤ËÁýÂ礹¤ë¤³¤È¤ò¼¨¤¹¡¥¤³¤Î·ë²Ì¤òÍѤ¤¤Æ¡¤»Å»öÎ̤ÎʬÉÛ¾ðÊó¤ÈÅþÃå´Ö³Ö¤ÎʬÉÛ¾ðÊ󤫤黼º»Å»öÎ̤ξå¸ÂÃͤòɾ²Á¤¹¤ë¼°¤òƳ½Ð¤¹¤ë¡¥

Âê̾ Performance Analysis of Region Division Assignment of OVSF Codes in W-CDMA
Ãø¼Ô Rujupun Assarut, ¡û²ÏÀ¾¡¡·û°ì, »³ËÜ¡¡Ä¬, ¾®ÌîΤ¡¡¹¥Ë®(·²ÇÏÂç³Ø¹©³ØÉô¾ðÊ󹩳زÊ)
keywords code assignment, code blocking problem, OVSF codes, W-CDMA
abstract This work focuses on the problem of efficient assignment of the orthogonal-variable-spreading-factor (OVSF) codes for multimedia communications in W-CDMA systems. In OVSF-CDMA, the maintenance of the orthogonality among the assigned OVSF codes causes the code blocking problem which increases the high blocking rate for the high-rate requests. To efficiently provide the services for all supported rates, an OVSF-code assignment scheme called the region division assignment scheme (RDA) is developed to mitigate the code blocking problem. In this paper, we present an approximate analysis of RDA for two supported rates. The validity of our analysis is investigated by computer simulations.



2002ǯ4·î22Æü(·î)¸á¸å

¥»¥Ã¥·¥ç¥ó A1-3 ¥Ë¥å¡¼¥í¤È¾ðÊó½èÍý (22Æü 13:30¡Á14:45)
ºÂĹ: ËÌÅçÇîÇ·(¹áÀîÂç)

Âê̾ Chaos Associative Memory and Invariant Measure
Ãø¼Ô ¡ûÃæÀ¹°(Ĺ²¬µ»½Ñ²Ê³ØÂç³Ø¹©³ØÉô)
keywords Chaos, Associative¡¡Memory, Neural¡¡Network, Invariant¡¡Measure, Frobenius¡ÝPerron¡¡equation
abstract In this paper we shall propose a chaos dynamic memory model applied to the chaotic autoassociation memory. The present artificial neuron model is properly characterized in terms of a time-dependent sinusoidal activation function to involve a transient chaotic dynamics as well as the energy steepest descent strategy. It is elucidated that the present neural network has a remarkable retrieval ability beyond the conventional models with such a monotonous activation function as sigmoidal one. This advantage is found to result from the property of the analogue periodic mapping accompanied with a chaotic behaviour of the neurons as well as the symmetry of the dynamic equation.

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keywords Ï¢ÁÛµ­²±¥â¥Ç¥ë, ¥«¥ª¥¹, ʬ´ô, ¥Õ¥é¥¹¥È¥ì¡¼¥·¥ç¥ó, ÈóñĴ
abstract ÈóñĴ·ÏÎóÁÛµ¯·¿Ï¢ÁÛµ­²±¥â¥Ç¥ë¤Ë¤ª¤±¤ë¥«¥ª¥¹¸½¾Ý¤Î²òÀϤò¹Ô¤Ã¤¿¡¥µ­²±¥Ñ¥¿¡¼ ¥ó¿ô¤¬Áǻҿô$N$¤ÈƱ¤¸¥ª¡¼¥À¡¼¤Ç¤¢¤ë»þ¡¤Ï¢ÁÛµ­²±¥â¥Ç¥ë¤Ï¥Õ¥é¥¹¥È¥ì¡¼¥·¥ç¥ó ¤ò»ý¤Ä¡¥½¾¤Ã¤Æ¡¤¤½¤ÎÁÛµ¯²áÄø¤ò¸·Ì©¤ËµÄÏÀ¤¹¤ë¤³¤È¤Ïº¤Æñ¤Ç¤¢¤Ã¤¿¡¥²æ¡¹¤Ï¡¤ ·ÏÎóÁÛµ¯·¿Ï¢ÁÛµ­²±¥â¥Ç¥ë¤ÎÈù»ëŪ¤ÊÆ°ºîÊýÄø¼°¤«¤éÇ®ÎϳØŪ¶Ë¸Â ($N\to\infty$)¤Ë¤ª¤±¤ëµð»ëŪ¾õÂÖÊýÄø¼°¤ò¸·Ì©¤Ëµá¤á¤ë¤³¤È¤ËÀ®¸ù¤·¤¿¡¥¤¹¤Ê ¤ï¤Á¡¤Â¿¼«Í³Å٤ηϤ«¤é2ÊÑ¿ô¤Îµð»ëŪ¾õÂÖÊýÄø¼°¤òµá¤á¤ë¤³¤È¤¬¤Ç¤­¤¿¡¥¤³¤ì¤Ë ¤è¤ê¡¤·Ï¤Îʬ´ô¿Þ¤òµá¤á¤ë¤³¤È¤¬¤Ç¤­¡¤¥«¥ª¥¹¤ò²òÀϤ¹¤ë¤³¤È¤¬¤Ç¤­¤ë¡¥¤½¤Î·ë ²Ì¡¤ÈóñĴ·ÏÎóÁÛµ¯·¿Ï¢ÁÛµ­²±¥â¥Ç¥ë¤Îʬ´ô¤ÎÍͻҤȡ¤¥«¥ª¥¹¤ÎȯÀ¸¤ËÈóñĴÀ­ ¤È¥Õ¥é¥¹¥È¥ì¡¼¥·¥ç¥ó¤¬É¬ÍפǤ¢¤ë¤³¤È¤¬ÌÀ¤é¤«¤Ë¤Ê¤Ã¤¿¡¥

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keywords ¥»¥ë¥ª¡¼¥È¥Þ¥È¥ó, °äÅÁŪ¥¢¥ë¥´¥ê¥º¥à, ¼«¸ÊÊ£À½¹½Â¤
abstract ¥»¥ë¥ª¡¼¥È¥Þ¥È¥ó(CA)¤Ï¡¢Î¥»¶»þ´Ö¡¢Î¥»¶¶õ´Ö¡¢Î¥»¶¾õÂÖÊÑ¿ô¤ò¤â¤Ä¥À¥¤¥Ê¥ß¥«¥ë¥·¥¹¥Æ¥à¤Ç¤¢¤ê¡¢ÍÍ¡¹¤Ê¶½Ì£¿¼¤¤¸½¾Ý¤òÄ褹¤ë¡£CA¤ÎÆ°ºî¤Ï¡¢¤¢¤ë¥»¥ë¤È¤½¤Î¶á˵¤Ë°Í¸¤·¤¿»þ´ÖȯŸ¤òÄêµÁ¤¹¤ë¥ë¡¼¥ë¥Æ¡¼¥Ö¥ë¤Ë¤è¤Ã¤Æ·èÄꤵ¤ì¤ë¡£½ê˾¤Î»þ´ÖȯŸ¤ò¤¹¤ëCA¤ò¹çÀ®¤¹¤ë¤¿¤á¤Ë¤Ï¡¢½ê˾¤Î¥ë¡¼¥ë¥Æ¡¼¥Ö¥ë¤ò·èÄꤹ¤ëɬÍפ¬¤¢¤ë¡£°ìÈ̤ˡ¢¥ë¡¼¥ë¥Æ¡¼¥Ö¥ë¤ÎÁí¿ô¤ÏÈó¾ï¤Ë¿¤¯¡¢¤½¤ì¤é¤ÎľÀÜõº÷¤Ë¤è¤Ã¤Æ½ê˾¤Î¥ë¡¼¥ë¥Æ¡¼¥Ö¥ëÆÀ¤ë¤³¤È¤ÏÂçÊѺ¤Æñ¤Ç¤¢¤ë¡£ËÜÏÀʸ¤Ç¤Ï¡¢°äÅÁŪ¥¢¥ë¥´¥ê¥º¥à(GA)¤òÍѤ¤¤¿¼«¸ÊÊ£À½CA



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ºÂĹ: ÃæÀ¹°(Ĺ²¬µ»²ÊÂç)

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abstract ¥Ë¥å¡¼¥é¥ë¥Í¥Ã¥È¥ï¡¼¥¯¤òÍѤ¤¤¿ÁȤ߹ç¤ï¤»ºÇŬ²½ÌäÂê¤Î²òË¡¤Î¸¦µæ¤Ç¤Ï¡¤Hopfield¥â¥Ç¥ë°ÊÍ衤ǡ²¿¤ËÁÇÁ᤯¡¤Ç¡²¿¤Ë³Î¼Â¤ËºÇŬ²ò¤Ë¼ý«¤¹¤ë¤«¡¤¤È¤¤¤¦ÅÀ¤¬½Å»ë¤µ¤ì¤Æ¤­¤¿¡¥¤³¤Î¤è¤¦¤Ë¡¤¤³¤ì¤Þ¤Ç¤ÏÀÅŪ¾ðÊó¤ò¼è¤ê°·¤Ã¤Æ¤¤¤¿¡¥¤·¤«¤·¤Ê¤¬¤é¡¤À¸Êª³ØŪÃ諤«¤éưŪ¾ðÊó¤ò¼è¤ê°·¤¦¤³¤È¤¬²Äǽ¤Ê·Ï¤Î²òÀϤ¬¶áǯ¡¤ÃíÌܤòÍá¤Ó¤Æ¤¤¤ë¡¥¤½¤³¤ÇËܸ¦µæ¤Ç¤Ï¡¤¥Ò¥¹¥Æ¥ê¥·¥¹¥Ë¥å¡¼¥é¥ë¥Í¥Ã¥È¤òÍѤ¤¡¤ºÇŬ²ò¤òõº÷¤¹¤ëÃæ¤Ç¡¤²ò¤¬ÆÀ¤é¤ì¤Æ¤â¤½¤ì¤Ë¼ý«¤»¤º¡¤¼¡¡¹¤ÈÊ̤βò¤òõº÷¤·Â³¤±¤ë¤è¤¦¤Ê¥·¥¹¥Æ¥à¤ò¹Í»¡¤¹¤ë¡¥Ëܸ¦µæ¤Ç¤Ï¡¤N¥¯¥£¡¼¥óÌäÂê¤òÂоݤȤ·¡¤¥·¥¹¥Æ¥à¤ÎÀ­Ç½¤òɾ²Á¤¹¤ë¡¥

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Ãø¼Ô ¡ûËö±Ê¿¸Ìé, º´Æ£ÌÐͺ, ÁáÀîµÈ¹°, ÃæÅ繯¼£(ÅìËÌÂç³Ø¡¡Åŵ¤ÄÌ¿®¸¦µæ½ê¡¡Ä¶¹âÌ©ÅÙ¡¦¹â®ÃÎǽ¥·¥¹¥Æ¥à¼Â¸³»ÜÀß)
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abstract ¡¡ÈóÂоΡ¢´Ä¾õ¥Ë¥å¡¼¥é¥ë¥Í¥Ã¥È¥ï¡¼¥¯¤Ë¤ª¤¤¤Æ¡¢ºÇ¶áÀÜ·ë¹ç¤ò¤â¤Ä¾ì¹ç¤Î²òÀϤϤʤµ¤ì¤Æ¤¤¤ë¡£¤·¤«¤·¡¢Ä¹µ÷Î¥·ë¹ç¤òÍ­¤¹¤ë¤³¤Î¥¿¥¤¥×¤Î¥Í¥Ã¥È¥ï¡¼¥¯¤Î²òÀϤ¬²ÝÂê¤Ç¤¢¤Ã¤¿¡£ËܹƤǤϡ¢¿ôÃÍ¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤Ë¤è¤êºÇ¶áÀÜ·ë¹ç¤Î¤ß¤ò¤â¤Ä´Ä¾õ¥Í¥Ã¥È¥ï¡¼¥¯¤ÇÀ¸À®¤µ¤ì¤ë¥ê¥ß¥Ã¥È¥µ¥¤¥¯¥ë¤¬¡¢Ä¹µ÷Î¥·ë¹ç¤òÍ­¤¹¤ë¥Í¥Ã¥È¥ï¡¼¥¯¤Ç¤âÀ¸¤¸¤ë¤³¤È¤ò³Îǧ¤·¡¢¤³¤Î¥ê¥ß¥Ã¥È¥µ¥¤¥¯¥ë¤Î¥Ë¥å¡¼¥í¥ó¿ôµÚ¤Ó¥·¥Ê¥×¥¹¤ÎºÇÂç·ë¹çŰ͸À­¤òÄ´¤Ù¤¿¡£¤Þ¤¿¡¢Ä¹µ÷Î¥·ë¹ç¤òÍ­¤¹¤ë¥Í¥Ã¥È¥ï¡¼¥¯¤Ë¤ª¤¤¤Æ¡¢È¯À¸¤·¤¿¥ê¥ß¥Ã¥È¥µ¥¤¥¯¥ë¤òFourierµé¿ô¤òÍѤ¤¤¿¶á»÷¼°¤òƳ½Ð¤·¡¢¤½¤Î·ë²Ì¤¬¿ôÃÍ¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤È¤è¤¯°ìÃפ¹¤ë¤³¤È¤ò¼¨¤·¤¿¡£



¥»¥Ã¥·¥ç¥ó A1-5 ½¸ÀѲ½¥Ö¥ì¥¤¥ó¤Î¥â¥Ç¥ë¤È¤½¤Î¥À¥¤¥Ê¥ß¥¯¥¹ (22Æü 16:00¡Á17:00)
ºÂĹ: Ĭ½Ó¸÷(ÂçºåÂç)

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keywords ¿À·Ð²óÏ©, ½¸ÀѲóÏ©, ÉéÀ­Äñ¹³, ¥Ö¥ì¥¤¥ó, ÈóÂоηë¹ç
abstract ¶áǯ¡¢¿À·ÐºÙ˦¤ÎÊ¿¶ÑŪȯ²ÐÉÑÅ٤ǤϤʤ¯»þ´Ö¼´¾å¤ÎȯÀ¸¥Ñ¥ë¥¹¤½¤ì¼«¿È¤Î¾ðÊó½èÍý¤Ø¤ÎÌò³ä¤Î½ÅÍ×À­¤¬¹­¤¯µÄÏÀ¤µ¤ì¡¢¤½¤ÎÊý¸þ¤«¤é²óÏ©Ì֤ΥÀ¥¤¥Ê¥ß¥¯¥¹¤äǽưÀ­¤¬Ç¡²¿¤ËÃÎŪ¤Ê¾ðÊó½èÍý¤Ë´ØÍ¿¤·¤Æ¤¤¤ë¤«¤ò²òÌÀ¤¹¤ë¤³¤È¤Ï½ÅÍפʲÝÂê¤Ç¤¢¤ë¤Èǧ¼±¤µ¤ì¤Æ¤ª¤ê¡¢Â¿¤¯¤Î¥¢¥×¥í¡¼¥Á¤¬¤Ê¤µ¤ì¤Æ¤¤¤ë¡£¤½¤Î¤¿¤á¥â¥Ç¥ë¤Ë¤ª¤¤¤Æ¤âǽưŪ¤ÊÆ°ºî¾õÂÖ¤òºî¤ê½Ð¤¹ÈóÂоηë¹ç·Ï¤Ç¤Î²óÏ©¤Î¿¶¤ëÉñ¤¤¤òÍý²ò¤¹¤ë¤³¤È¤Ï½ÅÍפʥ¹¥Æ¥Ã¥×¤Ç¤¢¤ë¡£¤³¤Î¤è¤¦¤Ê´ÑÅÀ¤«¤é²óÏ©¤ËȯÀ¸¤¹¤ë¥ê¥ß¥Ã¥È¥µ¥¤¥¯¥ëLC¤Ë´ØÏ¢¤·¤¿¾õÂ֤βòÀϤò¿Ê¤á¤¿¡£¤½¤Î·ë²Ì³Æ¥æ¥Ë¥Ã¥È¤Î¾õÂ֤Ȥ½¤ì¤Ë²Ã¤ï¤ëÎϤδ֤δط¸¤Ë¤è¤ë°ÂÄêÀ­¤ÎµÄÏÀ¤«¤éLC¤Î¾õÂÖ¤ÏÈóÀþ·ÁÇÈưŪưºî¤È¤ÎÎà»÷À­¤Ë¤è¤êÀâÌÀ¤Ç¤­¤ë¤³¤È¤¬Ê¬¤«¤Ã¤¿¡£¤Þ¤¿³Æ¥æ¥Ë¥Ã¥È¼«ÂΤ¬È¯²ÐǽÎϤò»ý¤Ä¤³¤È¤Ä¤Þ¤ê¶½Ê³¾õÂ֤˰ܹԤǤ­¤ë¾õÂÖ¡¢¤¤¤ï¤ÐÎ׳¦¾õÂ֤ˤ¢¤ë¤³¤È¤¬²óÏ©Ì֤Ȥ·¤Æ¤ÎÆ°ºî¤Ë¤ª¤¤¤Æ¤âÃ濴Ū¤ÊÌò³ä¤Î£±¤Ä¤òô¤Ã¤Æ¤¤¤ë¤È»×¤ï¤ì¡¢ËÜÊó¹ð¤Ë¤ª¤¤¤Æ¤â¤³¤ÎÅÀ¤òÃ濴Ū²ÝÂê¤È¤·¤Æ¼è¤ê¾å¤²¤½¤ì¤òÌÀ³Î¤Ëµ­½Ò¤Ç¤­¤ë¥â¥Ç¥ë¤òƳÆþ¤·¤¿¡£¤³¤ÎID¥â¥Ç¥ë¤Ï¤³¤ì¤Þ¤Ç¤Î°ìÈÌÀ­¤Î¹â¤¤¥â¥Ç¥ë¤Î±äĹÀþ¾å¤Ë¤¢¤ë¡£¤½¤Î´ðËÜŪÀ­¼Á¤Ë¤Ä¤¤¤ÆµÄÏÀ¤·¡¢ºÇŬÃÍÌäÂê¤Î¶Ë¾®²ò¤«¤é¤Îæ½Ð¤Ë¤âÍ­¸ú¤Ç¤¢¤ë¤³¤È¤ò¼¨¤·¤¿¡£



¥»¥Ã¥·¥ç¥ó Ba1-3 [ÆÃÊÌ¥»¥Ã¥·¥ç¥ó] CMOS¹â®¥·¥ê¥¢¥ë¡¿¥Ñ¥é¥ì¥ë¡¦¥ê¥ó¥¯¤Î¤¿¤á¤Î½¸ÀѲóÏ©µ»½Ñ (22Æü 13:30¡Á15:30)
ºÂĹ: ±ÊÅÄ¿¿(¹­ÅçÂç)

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keywords I/O, ¥·¥ê¥¢¥ëÄÌ¿®, CMOS, CDR
abstract ¥·¥ê¥¢¥ëÄÌ¿®LSI¤Î³«È¯¤Ë¤è¤êÇݤï¤ì¤Æ¤­¤¿Ä¶Gbps¤Î²óÏ©µ»½Ñ¤ò¡¢LSI¤ÎI/Oü»Ò³Æ¡¹¤ËŸ³«¤¹¤ë¡¢¿·¤·¤¤¥¤¥ó¥¿¡¼¥Õ¥§¡¼¥¹µ»½Ñ¤¬¸½¤ì¤¿¡£Point-to-PointÀܳ¤ÎÅÁÁ÷ÀþÏ©¤È¡¢SerDes¤È¸Æ¤Ð¤ì¤ë¡¢¥Ç¡¼¥¿¤Î¥Ñ¥é¥ì¥ë¡¿¥·¥ê¥¢¥ëÊÑ´¹¤È¥¯¥í¥Ã¥¯½Å¾ö¤ò¹Ô¤¦¿®¹æ½èÍý²óÏ©¡¢ÊÂÎó¿®¹æ´Ö¤Î¥¿¥¤¥ß¥ó¥°¤º¤ì¤òÄ´À°¤¹¤ë²óÏ©¡¢µÚ¤Ó¡¢¥¢¥Ê¥í¥°Åª¤Ë¿®¹æÅÁÁ÷¤ò¹Ô¤¦I/O²óÏ©¤«¤é¤Ê¤ê¡¢£±I/OÅö¤¿¤ê¡¢¿ôGbps¤ÎÅÁÁ÷®ÅÙ¤òãÀ®¤·¡¢LSI´Ö¥¤¥ó¥¿¡¼¥Õ¥§¡¼¥¹¤ÎÁí¥Ð¥ó¥ÉÉý¤Ï¡¢100Gbps¤«¤é1Tbps¤Ë¤â㤹¤ë¡£ËÜÏÀʸ¤Ç¤Ï¡¢¤³¤Î¿·¤·¤¤µ»½Ñ¤ò¥¹¡¼¥Ñ¡¼¥Ñ¥é¥ì¥ë¥ê¥ó¥¯µ»½Ñ¤È¸Æ¤Ó¡¢¤½¤Î³µÍפˤĤ¤¤Æ¾Ò²ð¤¹¤ë¡£

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keywords ¥·¥ê¥¢¥ëÄÌ¿®, ¥µ¥ó¥×¥ê¥ó¥°¡¦¥é¥Ã¥Á, ¥¯¥í¥Ã¥¯¡õ¥Ç¡¼¥¿¥ê¥«¥Ð¥ê, ¿Áꥯ¥í¥Ã¥¯, BIST
abstract ÂçÍÆÎÌÅŵ¤ÅÁÁ÷¤ò¼Â¸½¤¹¤ë¼êÃʤȤ·¤ÆÊ£¿ô¤Î¥·¥ê¥¢¥ëÀܳ¤òƱ»þÊÂÎó¤ËÍѤ¤¤ë¿ÊÂÎ󥷥ꥢ¥ëÀܳ¤¬ÃíÌܤµ¤ì¤Æ¤¤¤ë¡£Â¿ÊÂÎ󥷥ꥢ¥ëÀܳ¤ò¼Â¸½¤¹¤ë¤¿¤á¤Î²óÏ©µ»½Ñ¤È¤·¤Æ¡¢¥·¥ê¥¢¥ëÀܳ¤Î¹â®²½µ»½Ñ¤È¿ÊÂÎó²½µ»½Ñ¤ËÃåÌܤ·¤¿¡£¹â®²½µ»½Ñ¤Ë´Ø¤·¤Æ¤Ï¡¢¥¯¥í¥Ã¥¯¡õ¥Ç¡¼¥¿¥ê¥«¥Ð¥ê²óÏ©µÚ¤Ó¹â®¥µ¥ó¥×¥ê¥ó¥°¡¦¥é¥Ã¥Á²óÏ©¡¢Â¿ÊÂÎó²½µ»½Ñ¤Ë´Ø¤·¤Æ¤Ï¥Î¥ó¥Õ¥£¡¼¥É¥Ð¥Ã¥¯Â¿Áꥯ¥í¥Ã¥¯È¯À¸²óÏ©¡¢Â¿ÊÂÎóÄÌ¿®ÍÑBIST²óÏ©¤Ë¤Ä¤¤¤Æ½Ò¤Ù¤¿¡£

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Ãø¼Ô ¡ûµÝÃ繯»Ë(·²ÇÏÂç)
keywords VLSI, CDMA, ¥¹¥Ú¥¯¥È¥ë³È»¶, £Í·ÏÎó, ¿ÃÍÏÀÍý
abstract ¶áǯ¡¤VLSI¥·¥¹¥Æ¥à¤Î¶Ë¸ÂÈùºÙ²½¡¦¹âÊÂÎ󲽡¦ÄãÅÅ°µ²½¤Î¥È¥ì¥ó¥É ¤Ëȼ¤¤¡¤ÆâÉôÇÛÀþ¤Î·ãÁý¡¤ÇÛÀþ´Ö¥¯¥í¥¹¥È¡¼¥¯»¨²» ¤Ê¤ÉÇÛÀþ¤Ëµ¯°ø¤¹¤ë½ôÌäÂ꤬¿¼¹ï¤È¤Ê¤ê¤Ä¤Ä¤¢¤ë¡¥ ¤³¤ì¤é¤ÎÌäÂê¤òËܼÁŪ¤Ë²ò·è¤¹¤ë¤¿¤á¤Ë¡¤¤³¤ì¤Þ¤Ç¾ðÊóÄÌ¿®¤ÎʬÌî¤Ç ÍѤ¤¤é¤ì¤Æ¤­¤¿¡¤¥¹¥Ú¥¯¥È¥ë³È»¶µ»½Ñ¤È¾ðÊó½èÍý¤Î³µÇ°¤ò Í»¹ç¤µ¤»¤¿¿·¤·¤¤¥³¥ó¥Ô¥å¡¼¥Æ¥£¥ó¥°¤Î¥Ñ¥é¥À¥¤¥à ¡Ö¥¹¥Ú¥¯¥È¥ë³È»¶¾ðÊó½èÍý¡×¤òÄó°Æ¤¹¤ë¡¥ ËܹƤǤϿ·¤¿¤Ë¡¤¡ÖÍ­Àþ¡×CDMAÆÃÍ­¤ÎÌäÂê¤È¤Ê¤ë ¥¯¥í¥Ã¥¯¿®¹æ¤ÎÅÁÈÂÃÙ±ä¤Ëµ¯°ø¤¹¤ëÁ÷¼õ¿®¥­¥ã¥ê¥ä(M·ÏÎó)¤Î °ÌÁê¸íº¹¡¤¤ª¤è¤ÓÅÁÁ÷Ï©¤ÎÂÓ°èÀ©¸Â¤Î±Æ¶Á¤ò ÊäÀµ¤¹¤ë¤¿¤á¤Î¥¢¥ë¥´¥ê¥º¥à¤òÄó°Æ¤¹¤ë¡¥ ¤Þ¤¿¡¤¥¹¥Ú¥¯¥È¥ë³È»¶¾ðÊó½èÍý¤Î±þÍÑÎã¤È¤·¤Æ ÄÌ¿®¤È±é»»¤Î°ìÂβ½¡¤£²¼¡¸µÅª¥¹¥Ú¥¯¥È¥ë ³È»¶µ»½Ñ¤òÍøÍѤ·¤¿²èÁü½èÍý¤Ê¤É¤ò¾Ò²ð¤¹¤ë¡¥

Âê̾ ¥³¥ó¥·¥å¡¼¥Þ¡¼¸þ¤±¹â®¥¤¥ó¥¿¡¼¥Õ¥§¡¼¥¹¤Ë¤ª¤±¤ë½¸ÀѲóÏ©µ»½Ñ
Ãø¼Ô ¡ûµÈ²ÏÉðʸ(¾¾²¼ÅŴﻺ¶È¡Ê³ô¡Ë¡¡È¾Æ³Âμҡ¡³«È¯ËÜÉô)
keywords Interface, High Speed, PLL, DLL, Skew
abstract This paper discusses circuit techniques of high speed interface on system LSI for consumer electrics. As a prospective method of bandwidth improvement, a parallel interface scheme is closed up, then two kinds of the parallel interface scheme are introduced with multi-phase clocking. One is global synchronization scheme for skew suppression of inter-ports, and another is over-sampling with hierarchical sampling clock generation. These schemes are compared in view of package, cost and application. Then, one port serial interface and EMI matter are also described.



¥»¥Ã¥·¥ç¥ó Bd1-3 ²èÁü¿®¹æ½èÍý (22Æü 13:30¡Á14:45)
ºÂĹ: ÃçÃϹ§Ç·(NTT)

Âê̾ ¸º¿§½èÍý¤Ë¤ª¤±¤ëÁÈ¿¥Åª¥Ç¥£¥¶¤È¸íº¹³È»¶¤ÎÉʼÁ
Ãø¼Ô ¡û°¤Éô½Ê¿Í(ÂçÆüËÜ°õºþ³ô¼°²ñ¼Ò À¸»ºÁí¹ç¸¦µæ½ê)
keywords multi-level halftoning, blue noise masking, error diffusion
abstract In this paper, we report on quality difference between ordered dithering (especially blue noise masking) and error diffusion. Error diffusion is often used for electronic displays and ink-jet printers. Because error diffused halftone has high spatial resolution, low distortion of averaged gray-level. But it is more complicated than ordered dither. The difference between blue noise masking and error diffusion is clarified about the case of multi-level halftoning. As a result, the fact that error diffusion is superior to blue noise masking, but the difference decreases by the increase in the number of gradation levels, or spatial resolution.

Âê̾ °ÌÁê¸ÂÄêÁê´ØË¡¤òÍѤ¤¤¿¹âÀºÅÙ²èÁü¾È¹ç¤È¤½¤Îɾ²Á
Ãø¼Ô ¡ûÂíÅÄ ·ò»ù, ÀÄÌÚ ¹§Ê¸(ÅìËÌÂç³Ø Âç³Ø±¡¾ðÊó²Ê³Ø¸¦µæ²Ê), º´¡¹ÌÚ ·Äʸ(Àд¬À콤Âç³Ø Íý¹©³ØÉôÅŻҺàÎÁ¹©³Ø²Ê), Èõ¸ý ζͺ(ÅìËÌÂç³Ø Âç³Ø±¡¾ðÊó²Ê³Ø¸¦µæ²Ê), ¾®ÎÓ ¹§¼¡(³ô¼°²ñ¼Ò »³Éð ¿·»ö¶È³«È¯¼¼)
keywords ²èÁü¾È¹ç, ¥µ¥Ö¥Ô¥¯¥»¥ë¾È¹ç, °ÌÁê¸ÂÄêÁê´Ø´Ø¿ô, °ÌÁêÁê´Ø´Ø¿ô, Æ°¤­¿äÄê
abstract °ÌÁê¸ÂÄêÁê´ØË¡¤Ï¡¤¥µ¥Ö¥Ô¥¯¥»¥ë¥ì¥Ù¥ë¤Î¹âÀºÅ٤ʰÜÆ°Î̸¡½Ð¤ò²Äǽ¤Ë¤¹¤ë²è Áü¾È¹ç¼êË¡¤È¤·¤Æ¸¦µæ¤µ¤ì¤Æ¤¤¤ë¡¥¤·¤«¤·¡¤½¾Í衤°ÌÁê¸ÂÄêÁê´Ø´Ø¿ô¤òÍѤ¤¤¿¥µ ¥Ö¥Ô¥¯¥»¥ëÀºÅ٤ΰÜÆ°Î̸¡½Ð¤Ë¤ª¤¤¤Æ¤Ï¡¤¾õ¶·¤Ë±þ¤¸¤Æ°Û¤Ê¤ë¥Ò¥å¡¼¥ê¥¹¥Æ¥£¥Ã ¥¯¤Ê¼êË¡¤¬ÍѤ¤¤é¤ì¤ë¤³¤È¤¬Â¿¤¯¡¤ÍýÏÀŪ¤Ê²òÀϤÏÉÔ½½Ê¬¤Ç¤¢¤Ã¤¿¡¥ËÜÏÀʸ¤Ç¤Ï¡¤ ¥Ç¥£¥¸¥¿¥ë¿®¹æ½èÍý¤ÎΩ¾ì¤«¤é°ÌÁê¸ÂÄêÁê´Ø´Ø¿ô¤òÄê¼°²½¤¹¤ë¤È¤È¤â¤Ë¡¤Áê´Ø¥Ô¡¼ ¥¯¤ÎÊĤ¸¤¿·Á¤Î¥â¥Ç¥ë¤òƳ½Ð¤¹¤ë¡¥¤µ¤é¤Ë¡¤²èÁü¤Î¹â¼þÇÈÀ®Ê¬¤Ë´Þ¤Þ¤ì¤ë¥Î¥¤¥º ¤ò¹Íθ¤·¤¿Áê´Ø¥Ô¡¼¥¯¤Î¥â¥Ç¥ë¤òÍѤ¤¤ë¤³¤È¤Ë¤è¤ê¡¤¤Û¤Ü 1/100 ¥Ô¥¯¥»¥ëÀºÅÙ ¤Ç¤Î²èÁü¤Î°ÜÆ°ÎÌ¿äÄ꤬²Äǽ¤Ç¤¢¤ë¤³¤È¤ò¼Â¸³Åª¤Ë¼¨¤¹¡¥

Âê̾ ¥Ç¡¼¥¿¥¯¥é¥¹¥¿¥ê¥ó¥°¤Ë¤è¤ë²èÁü¤ÎÎΰèʬ³äË¡¤Ë¤Ä¤¤¤Æ
Ãø¼Ô ¡ûÌø¡¡ßæÞ¢, µÜ±Ê´î°ì, ÆÊÆâ¹á¼¡(Ë̳¤Æ»Âç³Ø¹©³Ø¸¦µæ²Ê)
keywords ¼«¸ÊÁÈ¿¥²½¥¯¥é¥¹¥¿¥ê¥ó¥°, Îΰèʬ³ä, ¥í¥Ð¥¹¥ÈÀ­
abstract ËÜÏÀʸ¤ÏÊý¼°¤Î½é´ü¾õÂ֤αƶÁ¤Ë¶¯¤¤¡¢¤«¤Ä´Ê·é¤ÊÎΰèʬ³äË¡¤òÄó°Æ¤¹¤ë¡£¤½¤Î¼Â¸½ ¼êÃʤȤ·¤ÆŬ±þŪµÚ¤Ó¼«Î§Åª¥¢¥ë¥´¥ê¥º¥à¤Ç¤¢¤ë¼«¸ÊÁÈ¿¥²½¥¯¥é¥¹¥¿¥ê¥ó¥°¤Ë¤è¤ë²è ÁüÎΰèʬ³äË¡¤òÄó°Æ¤¹¤ë¡£ËܼêË¡¤Ë¤è¤ê¥¯¥é¥¹¥¿¥ê¥ó¥°¤Î¸å½èÍý¤È¤·¤Æ¥Õ¥£¥ë¥¿½èÍý ¤Ê¤É¤Î²áÄø¤Ê¤·¤Ë¥¯¥é¥¹¥¿¥ê¥ó¥°¤ÎÃʳ¬¤Ç¶­³¦¾å¤Î¾®ÎΰèȯÀ¸¤òÍÞ¤¨¤ë¤³¤È¤¬³Îǧ¤Ç ¤­¤ë¡£¤Þ¤¿³Æ¼ïÎà¤Î²èÁü¤ËŬÍѤ·¤Æ¤âÎɹ¥¤ÊÎΰèʬ³ä¤¬¤Ç¤­¤ë¤³¤È¤ò³Îǧ¤·¡¢½¾ÍèË¡ ¤è¤ê¥í¥Ð¥¹¥ÈÀ­¤Î¤¢¤ë¼êË¡¤È¤â¸À¤¨¡¢ÈÆÍÑÀ­¤Î¤¢¤ëÎΰèʬ³ä¥·¥¹¥Æ¥à¤È¤·¤Æ¤ÎÍ­¸úÀ­ ¤ò³Îǧ¤·¤¿¡£



¥»¥Ã¥·¥ç¥ó Bd1-4 ¹âÅÙÊ¡»ã¼Ò²ñ¤òÌܻؤ·¤¿21À¤µª¤Î¹âÎð¼Ô¡¦¾ã³²¼Ô»Ù±çµ»½Ñ (22Æü 15:00¡Á17:00)
ºÂĹ: Åĸýμ(É𢹩Âç)

Âê̾ ¹âÎð¼Ô¡¦¾ã³²¼Ô¤Î¤¿¤á¤ÎWEB¥¢¥¯¥»¥·¥Ó¥ê¥Æ¥£¥È¥é¥ó¥¹¥³¡¼¥Ç¥£¥ó¥°
Ãø¼Ô ¡ûÀõÀî ÃҷûÒ, ¹âÌÚ ·¼¿­(ÆüËÜIBM Åìµþ´ðÁø¦µæ½ê)
keywords WEB ¥¢¥¯¥»¥·¥Ó¥ê¥Æ¥£, ¥È¥é¥ó¥¹¥³¡¼¥Ç¥£¥ó¥°, ¹âÎð¼Ô, ¾ã³²¼Ô
abstract ¶áǯ¡¢WEB¥Ú¡¼¥¸¤ÎÌò³ä¤¬Â¿ÍͲ½¤¹¤ë¤Ëȼ¤¤¡¢»ë³ÐŪ¤Êɽ¸½¤¬¹­ÈϰϤËÅϤäÆÍѤ¤¤é¤ì¤ë¤è¤¦¤Ë¤Ê¤Ã¤Æ¤¤¤ë¡£¤½¤Î¤¿¤á²»À¼¥¢¥¯¥»¥¹¤òÍѤ¤¤ë»ë³Ð¾ã³²¼Ô¤Ë¤È¤Ã¤ÆÍý²òº¤Æñ¤Ê¥Ú¡¼¥¸¤¬Áý²Ã¤·¤Æ¤¤¤ë¡£¤Þ¤¿¥Þ¥¦¥¹¤Ç¤·¤«Áàºî¤Ç¤­¤Ê¤¤Web¥Ú¡¼¥¸¤¬Áý²Ã¤·¤Æ¤¤¤ë¤¿¤á¤Ë¡¢¹âÎð¼Ô¡¦¾ã³²¼Ô¤¬¤³¤ì¤é¤Î¥Ú¡¼¥¸¤Ë¥¢¥¯¥»¥¹º¤Æñ¤Ë¤Ê¤ë¤È¤¤¤¦ÌäÂ꤬À¸¤¸¤Æ¤¤¤ë¡£¤½¤³¤Ç¤³¤Î¤è¤¦¤ÊÌäÂê¤ò²ò·è¤¹¤ë¤¿¤á¤Ë¡¢É®¼ÔÅù¤Ï´û¸¤ÎWEB¥³¥ó¥Æ¥ó¥Ä¤ò¥À¥¤¥Ê¥ß¥Ã¥¯¤Ë¥¢¥¯¥»¥·¥Ö¥ë¤Ê·Á¼°¤ËÊÑ´¹¤¹¤ë¥·¥¹¥Æ¥à¤ò³«È¯¤·¤¿¡£ËÜ¥·¥¹¥Æ¥à¤Ï¼«Æ°ÊÑ´¹¤Ë²Ã¤¨¤ÆAnnotation¾ðÊó¤Ë´ð¤Å¤¤¤¿Àµ³Î¤ÊÊÑ´¹¤ò¹Ô¤¨¤ë¤È¤¤¤¦ÆÃħ¤¬¤¢¤ë¡£ËܹƤǤϡ¢WEB¥¢¥¯¥»¥·¥Ó¥ê¥Æ¥£¤ÎÌäÂê¤ò¹Í»¡¤·¡¢¥·¥¹¥Æ¥à¤Î³µÍפò½Ò¤Ù¤ë¡£

Âê̾ Ä°³Ð·Ï¤òÍý²ò¤·±þÍѤ¹¤ë¤¿¤á¤Î·×»»ÍýÏÀ
Ãø¼Ô ¡ûÆþÌî½ÓÉ×(NTT)
keywords ·×»»ÍýÏÀ, ¥á¥ê¥óÊÑ´¹, ¥¦¥§¡¼¥Ö¥ì¥Ã¥ÈÊÑ´¹, Ä°³Ð¥Õ¥£¥ë¥¿, ÊäÄ°´ï
abstract ¹âÎð²½¼Ò²ñ¤ò·Þ¤¨¤è¤¦¤È¤·¤Æ¤¤¤ë¸½ºß¡¢¹âÎð¼Ô¤ä¾ã³²¼Ô¤ò»Ù±ç¤¹¤ë¤¿¤á¤ÎÁõÃ֤γ«È¯¤âµÞ̳¤È¤Ê¤Ã¤Æ¤¤¤ë¡£¿Í¤È¿Í¤È¤Î¥³¥ß¥å¥Ë¥±¡¼¥·¥ç¥ó¤Ë´Ø¤·¤Æ¤Ï¡¢²»À¼¤òÍѤ¤¤ë¤â¤Î¤¬¤â¤Ã¤È¤â´ðËÜŪ¤Ç½ÅÍפǤ¢¤ë¤³¤È¤Ïº£¸å¤âÊѤï¤ë¤³¤È¤Ï¤Ê¤¤¤Ç¤¢¤í¤¦¡£ÊäÄ°´ï¤ËÂåɽ¤µ¤ì¤ë²»À¼¥³¥ß¥å¥Ë¥±¡¼¥·¥ç¥ó»Ù±çµ¡´ï¤ò³«È¯¤¹¤ë¤¿¤á¤Ë¤Ï¡¢¿Í´Ö¤ÎÄ°³Ðµ¡Ç½¤ò¿ôÍý¥â¥Ç¥ë¤È¤·¤ÆÄê¼°²½¤¹¤ë¡Ö·×»»ÍýÏÀ¡×¤Î¸¦µæ¤¬¿ÊŸ¤¹¤ëɬÍפ¬¤¢¤ë¡£ËܹƤǤϡ¢Ãø¼Ô¤é¤¬Äó°Æ¤·¤Æ¤­¤¿¿·¤¿¤ÊÄ°³Ð·×»»ÍýÏÀ¤ò¤½¤Î¿´Íý¡¦À¸Íý³ØŪ¦Ì̤äÀ¸ÂÖ³ØŪ´ÑÅÀ¤È¤È¤â¤Ë¾Ò²ð¤¹¤ë¡£¤Þ¤¿¡¢ºÇ¸å¤Ë¤½¤ì¤¬±þÍѤǤ­¤ë²ÄǽÀ­¤Ë¤Ä¤¤¤Æ¤â¿¨¤ì¤ë¡£



¥»¥Ã¥·¥ç¥ó C1-3 ²óÏ©À߷פȸ¡¾Ú (22Æü 13:30¡Á15:30)
ºÂĹ: Èʾ帬¸ã(ÉÙ»ÎÄ̸¦)

Âê̾ ¥¬¥í¥¢Âξå¤Î¸í¤êÄûÀµ²óÏ©¤ÎÀ߷׸¡¾ÚË¡
Ãø¼Ô ¡û¿¹²¬À¡É×(ÆüËܣɣ£ͭêÅìµþ´ðÁø¦µæ½ê)
keywords ¸í¤êÄûÀµ²óÏ©, ¥ê¡¼¥É¥½¥í¥â¥óÉä¹æ, ¥¬¥í¥¢ÂÎ, ±é»»²óÏ©, ¥Õ¥©¡¼¥Þ¥ë¥Ù¥ê¥Õ¥£¥±¡¼¥·¥ç¥ó
abstract ¥ê¡¼¥É¥½¥í¥â¥óÉä¹æ¤Ê¤É¸í¤êÄûÀµÉä¹æ²óÏ©¤Î¿¤¯¤Ç¥¬¥í¥¢Âξå¤ÎÊ£¹ç±é»»¤¬¹Ô¤ï¤ì¤ë¤¬¡¤¤½¤Î±é»»¥¢¥ë¥´¥ê¥º¥à¤ÎÀµÅöÀ­¤ä²óÏ©¼ÂÁõ¤ÎÀµ¤·¤µ¤Î¸¡¾ÚË¡¤Ï½¾Íè¤Û¤È¤ó¤ÉÊó¹ð¤µ¤ì¤Æ¤¤¤Ê¤¤¡¥É®¼Ô¤Ï°ÊÁ°¡¤¥Ç¥³¡¼¥À²óÏ©¤Î¼çÍ×Éô¤Î¥¢¥ë¥´¥ê¥º¥àÀµÅöÀ­¤ò¸úΨÎɤ¯¸¡¾Ú¤¹¤ëÊýË¡¤òÄó°Æ¤·¤¿¡¥º£²ó¡¤¥¨¥ó¥³¡¼¥À¤Î¥¢¥ë¥´¥ê¥º¥àÀµÅöÀ­¤ä¡¤¥¨¥ó¥³¡¼¥À¡¿¥Ç¥³¡¼¥À¤Ë¤ª¤±¤ë¥¢¥ë¥´¥ê¥º¥à¤È²óÏ©¼ÂÁõ¤ÎÅù²ÁÀ­¤ò¡¤ÂΤÎƱ·¿À­¤ä¸í¤êÄûÀµÉä¹æ¤Î¿ô³ØŪÄêµÁ¤òÍøÍѤ·¤Æ¥ê¥Õ¥¡¥ì¥ó¥¹¥Ç¥¶¥¤¥ó¤òºî¤ë¤³¤È¤Ç¡¤³Î¼Â¤«¤Ä¸úΨÎɤ¯¸¡¾Ú¤¹¤ëÊýË¡¤ò¹Í°Æ¤·¤¿¡¥¤³¤ì¤Ë¤è¤ê¡¤¥¢¥ë¥´¥ê¥º¥à¥ì¥Ù¥ë¤«¤é¥²¡¼¥È¥ì¥Ù¥ë¤Ë»ê¤ëÁ´Àß·×Ãʳ¬¤Ç¥Õ¥©¡¼¥Þ¥ë¥Ù¥ê¥Õ¥£¥±¡¼¥·¥ç¥ó¤òŬÍѤ·¡¤1¥Ñ¥¹Ž¥¥Ç¥¶¥¤¥ó¤ò²Äǽ¤È¤¹¤ë¸«Ä̤·¤¬Î©¤Ã¤¿¡¥¼ÂºÝ¤Ë¡¤¹â®(36,32)¥ê¡¼¥É¥½¥í¥â¥óŽ¥¥¨¥ó¥³¡¼¥À¤È¥Ç¥³¡¼¥À¤Ë¤Ä¤¤¤Æ¡¤Á´¾ÚÌÀ¤ò¹ç·×3ÉÃÄøÅ٤ǹԤ¨¤¿¡¥

Âê̾ ÏÀÍý´Ø¿ô¤Î¾ö¤ß¹þ¤ß¤ò¹Íθ¤·¤¿ Look Up Table ¤Î¹½Â¤
Ãø¼Ô ¡ûÌÚ¼¿¸Æó, Àаæ½ß, ËÙ»³µ®»Ë, ³á¸¶Íµ»Ì, ÃæÀ¾Àµ¼ù, ÅÏîµ¾¡Àµ(ÆàÎÉÀèü²Ê³Øµ»½ÑÂç³Ø±¡Âç³Ø/¾ðÊó²Ê³Ø¸¦µæ²Ê)
keywords FPGA, Look Up Table, LUT, ¥­¥ã¥ê¡¼À¸À®, ÏÀÍý´Ø¿ô¾ö¤ß¹þ¤ß
abstract ËܹƤǤϡ¢ÏÀÍý´Ø¿ô¤Î¾ö¤ß¹þ¤ß¤òÍѤ¤¤Æ¡¢FPGA ¤Î Look-Up-Table (LUT) ¤Î ¥á¥â¥ê¥µ¥¤¥º¤ò°µ½Ì¤¹¤ë¼êË¡¤òÄó°Æ¤¹¤ë¡£¤È¤¯¤Ë¡¢ÏÀÍýÈÝÄê¤ÈÏÀÍýϤò ÍѤ¤¤¿¾ö¤ß¹þ¤ß¤òƳÆþ¤·¤¿ LUT ¤Î¹½Â¤¤òÄó°Æ¤·¡¢Á´²Ã»»´ï¤¬ 3-1 LUT ¤ò 2 ¸Ä¤Î 2-1 LUT ¤È¤·¤ÆÍѤ¤¤ë¤³¤È¤Ç¼Â¸½¤Ç¤­¤ë¤³¤È¤È¡¢ ¿¥Ó¥Ã¥È¤ÎÅù²ÁÀ­Èæ³Ó¡¢Âç¾®Èæ³Ó¤¬º£²óÄó°Æ¤¹¤ë 3-1 LUT ¤Ç ¼Â¸½¤Ç¤­¤ë¤³¤È¤ò¼¨¤¹¡£ Á´²Ã»»´ï¤Ë¤Ä¤¤¤Æ¤Ï¡¢Ä̾ï¤Î FPGA ¤Î¤è¤¦¤Ë 3-1 LUT ¤ò 2 ¸ÄÍѤ¤¤ë¤Î¤Ë Èæ³Ó¤·¤ÆÌóȾʬ¡¢Åù²ÁÀ­Èæ³Ó¡¢Âç¾®Èæ³Ó¤Ë¤Ä¤¤¤Æ¤Ï¡¢¤½¤ì¤é¤Î¤¿¤á¤Î ÀìÍѲóÏ©¤òɬÍפȤ·¤Ê¤¤¤È¤¤¤¦ÍøÅÀ¤¬¤¢¤ë¡£

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Ãø¼Ô ¡ûËÜ´Ö¾°Ê¸, ÀÄÌÚ¹§Ê¸, Èõ¸ýζͺ(ÅìËÌÂç³ØÂç³Ø±¡¾ðÊó²Ê³Ø¸¦µæ²Ê)
keywords ²óÏ©¹çÀ®, ¿Ê²½Åª·×»»¼êË¡, ±é»»²óÏ©, ¥Ç¡¼¥¿¥Ñ¥¹, ¥°¥é¥Õ
abstract ËܹƤǤϡ¤±é»»²óÏ©¼«ÂΤι½Â¤¤ò±é»»¥¢¥ë¥´¥ê¥º¥à¤ÎÀìÌçÃ챤òÍѤ¤¤º¤ËÁÏȯŪ¤ËÀ¸À®¤¹¤ëÀß·×¼êË¡¤òÄó°Æ¤¹¤ë¡¥¤½¤ÎÃæ¿´¤È¤Ê¤ëÃåÁÛ¤¬¡¤¿Ê²½Åª·×»»¼êË¡¤Ë´ð¤Å¤¤¤Æ²óÏ©¹½Â¤¤ò¹çÀ®¤¹¤ë¿Ê²½Åª¥°¥é¥ÕÀ¸À®¼êË¡¡ÊEGG¡Ë¤Ç¤¢¤ë¡¥Äó°Æ¤¹¤ëEGG¤Ï¡¤²óÏ©¹½Â¤¤òľÀÜɽ¸½²Äǽ¤Ê¡Ö²óÏ©¥°¥é¥Õ¡×¤ò¸ÄÂÎɽ¸½¤È¤·¤ÆÄêµÁ¤¹¤ë¡¥¤Þ¤¿¡¤²óÏ©¥°¥é¥Õ¤òÉôʬ²óÏ©¥°¥é¥Õ¤Î½¸¹ç¤È²ò¼á¤·¡¤Éôʬ²óÏ©¥°¥é¥Õ¤Ë´ð¤Å¤¯¹½Â¤Áàºî¤òÄêµÁ¤¹¤ë¡¥ÄêµÁ¤µ¤ì¤¿¹½Â¤Áàºî¤Ï¡¤Éôʬ²óÏ©¥°¥é¥Õ¤Î¸ò´¹¤äÃÖ´¹¤ò¹Ô¤¤¡¤²óÏ©¥°¥é¥Õ¤Ë¸ÂÄꤷ¤¿¸úΨŪ¤Êõº÷¤ò²Äǽ¤È¤¹¤ë¡¥ËܹƤǤϡ¤¤Þ¤º¡¤Äó°Æ¤¹¤ëEGG¤Î´ðËܳµÇ°¤È¤½¤Î¥·¥¹¥Æ¥à¹½À®¤ò¼¨¤¹¡¥¤½¤Î¾å¤Ç¡¤Äê·¸¿ô¾è»»´ï¤ò¹çÀ®¤·¤¿¼Â¸³·ë²Ì¤ò¼¨¤·¡¤EGG¤ÎÍ­¸úÀ­¤ò¸¡¾Ú¤¹¤ë¡¥

Âê̾ ´Ä¶­Å¬±þ²Äǽ¤Ê¥ê¥¢¥ë¥¿¥¤¥à»ëÀþ¿äÄê LSI ¤ÎÀ߷פÈɾ²Á
Ãø¼Ô ¡ûÃæ¼ °ìÇî(̾¸Å²°Âç³Ø/¾ðÊó¥á¥Ç¥£¥¢¶µ°é¥»¥ó¥¿¡¼), ÃæÀ¾ Àµ¼ù, ËÙ»³ µ®»Ë, ÎëÌÚ ¿¿¿Í, ÌÚ¼ ¿¸Æó, ÅÏîµ ¾¡Àµ(ÆàÎÉÀèü²Ê³Øµ»½ÑÂç³Ø±¡Âç³Ø/¾ðÊó²Ê³Ø¸¦µæ²Ê)
keywords »ëÀþ¿äÄê, LSI, ¥Ò¥å¡¼¥Þ¥ó¥¤¥ó¥¿¥Õ¥§¡¼¥¹, ²èÁü½èÍý, ǧ¼±
abstract ËܹƤǤÏ, °ìÂæ¤Î¸ÇÄꥫ¥á¥é¤«¤é¤Î´é±ÇÁü¤ò¤â¤È¤Ë, ¥æ¡¼¥¶¤Î»ëÀþ¤ò¿äÄꤹ¤ë LSI ¤Ë¤Ä¤¤¤Æ½Ò¤Ù¤ë. ¤³¤Î LSI ¤Ï, 640 x 480 4-bit ¥°¥ì¥¤¥¹¥±¡¼¥ë¤Î´é²èÁü¤òÆþÎϤȤ·, ¥³¥ó¥Ô¥å¡¼¥¿¥Ç¥£¥¹¥×¥ì¥¤¾å¤Î¥æ¡¼¥¶¤ÎÃí»ëÅÀ¤ò¿äÄꤹ¤ë. »ëÀþ¿äÄê¤ò¹Ô¤Ê¤¦Îΰè¤Ï½Ä²£¤½¤ì¤¾¤ì 3 ʬ³ä¤Î, 9 ¸Ä¤ÎƱ¤¸Â礭¤µ¤ÎÎΰè¤È¤·, LSI ¤Ï¤½¤ÎÃ椫¤é¤É¤ÎÎΰè¤Ë»ëÀþ¤¬¤¢¤ë¤«¤ò¿äÄꤹ¤ë. ¿äÄêÎΰè¤Ï 2-bit ¤Î x, y ºÂɸ¤Çɽ¤µ¤ì, ¤³¤Î LSI ¤Ï´é±ÇÁü¤«¤é¤ÎÌÜÎΰè¤ÈÆúºÌÎΰè¤ÎÃê½Ð¤Ë´ð¤Å¤¤¤Æ¥ê¥¢¥ë¥¿¥¤¥à¤Ë»ëÀþ¤¬¤¢¤ë Îΰè¤ÎºÂɸ¤ò½ÐÎϤ¹¤ë. ¤Þ¤¿, ¤³¤Î LSI ¤Ï¥æ¡¼¥¶¤ä»ÈÍѴĶ­¤ÎÊѲ½¤ËŬ±þ¤¹¤ëµ¡Ç½¤ò»ý¤Ã¤Æ¤¤¤ë. ²æ¡¹¤Ï¤Þ¤¿, »ëÀþ¿äÄê¤ËɬÍפʥá¥â¥êÎ̤ò 13 KB °Ê²¼¤Ëºï¸º¤·¤¿. ËÜ LSI ¤Ï, VHDL¤ÇÀ߷פò¹Ô¤¤ÅìµþÂç³Ø VDEC ¤Î»îºî¥µ¡¼¥Ó¥¹¤òÍѤ¤¤Æ ¥í¡¼¥à 0.35um ¥×¥í¥»¥¹, 4.9mm ³Ñ¤Î LSI ¤È¤·¤Æ»îºî¤ò¹Ô¤Ê¤Ã¤¿.



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keywords £É£Ð, ¥¤¥ó¥¿¥Õ¥§¡¼¥¹, ºÆÍøÍÑ, Àß·×µ»½Ñ
abstract ¥·¥¹¥Æ¥à£Ì£Ó£É¤ÎÀß·×¹©¿ôºï¸º¤Ë¤Ï£É£Ð¥³¥¢¤ÎºÆÍøÍѤ¬É¬¿Ü¤Ç¤¢¤ë¡£ ºÆÍøÍÑ»þ¤Ë¤Ï¡¢¤½¤ì¤ò¥Ö¥é¥Ã¥¯¥Ü¥Ã¥¯¥¹¤È¤·¤Æ°·¤¨¡¢¾¯¤Ê¤¤¾ðÊóÎÌ¤Ç »È¤¤Êý¤òÍý²ò¤Ç¤­¤ëɬÍפ¬¤¢¤ë¡£¤³¤³¤Ç½ÅÍפʾðÊó¤Ï£É£Ð¥³¥¢¤Î ¥¤¥ó¥¿¥Õ¥§¡¼¥¹»ÅÍͤǤ¢¤ë¡£ËܹƤǤϥ¤¥ó¥¿¥Õ¥§¡¼¥¹»ÅÍͤòÃæ¿´¤Ë ¤·¡¢£É£Ð¥³¥¢¤ÎºÆÍøÍѤòÂ¥¿Ê¤¹¤ëÀß·×¼êË¡¡Ö¥¤¥ó¥¿¥Õ¥§¡¼¥¹¡¦ ¥»¥ó¥È¥ê¥Ã¥¯¡¦¥Ç¥¶¥¤¥ó¡×¤òÄó°Æ¤¹¤ë¡£½¾Íè¡¢»ÅÍͤϼ«Á³¸À¸ì¤ä¿Þ ¤Çɽ¸½¤µ¤ì¤¿¥É¥­¥å¥á¥ó¥È¤Ç¤¢¤Ã¤¿¤¬¡¢¥Õ¥©¡¼¥Þ¥ë¤Ç¤Ê¤¤»ÅÍÍ¤Ï Û£Ë椵¤Ëµ¯°ø¤¹¤ë¸í¤ê¤Î¸µ¤Ë¤Ê¤ê¡¢À߷ץġ¼¥ë¤È¤ÎÏ¢·È¤â°­¤«¤Ã¤¿¡£ ËܹƤǤϥ¤¥ó¥¿¥Õ¥§¡¼¥¹¤ò¥Õ¥©¡¼¥Þ¥ë¤Ëµ­½Ò¤¹¤ë¸À¸ì¤ò¥Ù¡¼¥¹¤Ë ¤·¤¿Àß·×¼êË¡¤ò¾Ò²ð¤¹¤ë¡£

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keywords ¥¤¥ó¥¿¥Õ¥§¡¼¥¹¡¦¥»¥ó¥È¥ê¥Ã¥¯¡¦¥Ç¥¶¥¤¥ó, Component Wrapper Language, IPºÆÍøÍÑ, ¥¤¥ó¥¿¥Õ¥§¡¼¥¹»ÅÍÍ
abstract ¡È¥¤¥ó¥¿¥Õ¥§¡¼¥¹¡¦¥»¥ó¥È¥ê¥Ã¥¯¡¦¥Ç¥¶¥¤¥ó¡É¤ÎÃæ³ËŪ¤ÊÌò³ä¤ò²Ì¤¿¤¹¥¤¥ó¥¿¥Õ¥§¡¼¥¹»ÅÍ͵­½Ò¸À¸ìComponent Wrapper Language¡ÊCWL¡Ë¤Î¸À¸ì»ÅÍͤÈCWL¤ÎÀ߷ס¿¸¡¾Ú»Ù±ç¤Ø¤Î±þÍѤˤĤ¤¤Æ¾Ò²ð¤¹¤ë¡£¡È¥¤¥ó¥¿¥Õ¥§¡¼¥¹¡¦¥»¥ó¥È¥ê¥Ã¥¯¡¦¥Ç¥¶¥¤¥ó¡É¤Ï¡¢IP¥³¥¢¤Î¥¤¥ó¥¿¥Õ¥§¡¼¥¹»ÅÍͤòÀµ³Î¤ËÄêµÁ¤·¡¢IP¥³¥¢´Ö¤ÎÀܳ¤òÃæ¿´¤ËÀ߷פò¿Ê¤á¤è¤¦¤È¤¹¤ëÀß·×¼êË¡¤Ç¤¢¤ë¡£¤½¤Î¤¿¤áCWL¤Ë¤Ï¥¤¥ó¥¿¥Õ¥§¡¼¥¹¤òÀµ³Î¤«¤ÄÌÖÍåŪ¤ËÄêµÁ¤¹¤ë¤¿¤á¤Îµ¡Ç½¤¬È÷¤¨¤é¤ì¤Æ¤¤¤ë¡£CWL¤ÏÀµµ¬É½¸½¤ò´ðÈ×µ»½Ñ¤È¤·¤Æ¤ª¤ê¡¢Í­¸Â¾õÂÖµ¡³£¤Î¤è¤¦¤Ê¥â¥Ç¥ë¤ò°Õ¼±¤·¤¿¸À¸ì¤Ç¤â¤¢¤ë¡£



¥»¥Ã¥·¥ç¥ó D1-3 Î̻ҷ׻»¤È¥Ú¥È¥ê¥Í¥Ã¥È (22Æü 13:30¡Á14:30)
ºÂĹ: ÂÀÅĽß(°¦Ãθ©Î©Âç)

Âê̾ Î̻ҷ׻»¤È¥Ú¥È¥ê¥Í¥Ã¥È
Ãø¼Ô ¡ûÄÔ¹§µÈ(°¦Ãθ©Î©Âç)
keywords Petri Nets, Quantum Computing, qubit, quantum Turing machines, quantum Petri net
abstract Quantum computing builds upon ``a suggestion of Feynman'' and ``quantum circuits and quantum Turing Machines'' which are introduced by Deutsch. In particular, since Shor gave a polynomial time algorithm for the problems of prime factorization and discrete logarithms, the investigations for quantum algorithms become active. On the other hand, The extended Petri net models for the concurrent systems are useful. In this paper, in order to investigate the quantum computing by using net theory, we introduce an extended Petri net ( EPN ) III and III'. Furthermore, we show the modeling methods of a qubit and a quantum Turing machine by using EPN III' and its properties.



¥»¥Ã¥·¥ç¥ó D1-4 ¥Í¥Ã¥È¥ï¡¼¥¯Àß·×ÍýÏÀ (22Æü 15:00¡Á17:00)
ºÂĹ: Ã滳¿µ°ì(ÆÁÅçÂç)

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keywords ñ°ì¥µ¡¼¥ÐÂÔ¤Á¹ÔÎó, ¿þÌî¤ÎŤ¤Ê¬ÉÛ, Ĺ´ü°Í¸À­
abstract ÄÌ¿®¥È¥é¥Ò¥Ã¥¯ÍýÏÀ¤Ë¤ª¤±¤ëºÇ¶á¤ÎÏÃÂê¤ÎÃ椫¤é¡¢¿þÌî¤Î Ť¤Ê¬ÉÛ¤òÍ×ÁǤˤâ¤Äñ°ì¥µ¡¼¥ÐÂÔ¤Á¹ÔÎó¤Ë´Ø¤¹¤ë·ë²Ì¤ò ¾Ò²ð¤¹¤ë¡£¿þÌî¤Îû¤¤Ê¬ÉۤΤߤ«¤é¤Ê¤ë½¾Íè¤Î¥â¥Ç¥ë¤Ç¤Ï ÂÔ¤Á»þ´ÖʬÉÛ¤äµÒ¿ôʬÉۤοþÌî¤Ï»Ø¿ôŪ¤Ë¸º¾¯¤¹¤ë¤³¤È¤¬ ÃΤé¤ì¤Æ¤¤¤ë¡£°ìÊý¡¢¿þÌî¤ÎŤ¤Ê¬ÉÛ¤òÍ×ÁǤˤâ¤Ä¥â¥Ç¥ë ¤Ç¤Ï¡¢¤³¤ì¤é¤ÎÀ­Ç½»Øɸ¤Î¿þÌîʬÉÛ¤â¤Þ¤¿Ä¹¤¯¤Ê¤ë¡£¤³¤Î ¤è¤¦¤Ê¥â¥Ç¥ë¤ËÂФ¹¤ëÍ­±×¤È»×¤ï¤ì¤ë·ë²Ì¤ò¤¤¤¯¤Ä¤«¼¨¤· ¤¿¸å¡¢ºÇ¶á¡¢¼è¤êµó¤²¤é¤ì¤ë¤³¤È¤¬Â¿¤¤¥È¥é¥Ò¥Ã¥¯¤ÎĹ´ü °Í¸À­¤ä¼«¸ÊÁê»÷À­¤È¤Î´ØÏ¢¤Ë¿¨¤ì¡¢À­Ç½»Øɸ¤ÎʬÉۤοþ ÌŤ¤¤È¤¤¤¦¡¢¤¢¤ë¼ï°Û¾ï¤Ê¸½¾Ý¤¬¡¢Ä¹´ü°Í¸À­¤ä¼«¸Ê Áê»÷À­¤È¤ÏľÀÜŪ¤Ê´Ø·¸¤Ë¤Ï¤Ê¤¤¤³¤È¤ò²òÀ⤹¤ë¡£

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abstract ÄÌ¿®ÌÖ¤ÏÃæ·Ñ²óÀþ¤ò»Þ¤Ë¡¢¸ò´¹¶É¤òÀáÅÀ¤ËÃÖ¤­´¹¤¨¤ë¤³¤È¤Ë¤è¤Ã¤Æ¥°¥é¥Õ¤Ë¥â¥Ç¥ë²½¤Ç¤­¤ë¡£½¾¤Ã¤Æ¥°¥é¥Õ¡¦¥Í¥Ã¥È¥ï¡¼¥¯¾å¤ÎÁȹ礻ºÇŬ²½ÌäÂê¤Î¿¤¯¤¬ÄÌ¿®ÌÖ¤ËÂФ·½ÅÍפʱþÍѤò»ý¤Ä¡£ ËܹƤǤϡ¢Îΰ襰¥é¥Õ¤ÈNAÏ¢·ëÅ٤γµÇ°¤òÍѤ¤¡¢¥Í¥Ã¥È¥ï¡¼¥¯¹½À®ÌäÂê¡ÊÉôʬ¥°¥é¥ÕÌäÂê¡¢¥¹¡¼¥Ñ¡¼¥°¥é¥ÕÌäÂê¡¢¶¡µëÅÀÇÛÃÖÌäÂê¡Ë¤òÃæ¿´¤Ë¥°¥é¥Õ¥¢¥ë¥´¥ê¥º¥à¤ÎÄÌ¿®Ì֤ؤαþÍѤˤĤ¤¤Æ½Ò¤Ù¤ë¡£



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keywords ÀÑʬȯ²Ð·Ï, ¥«¥ª¥¹, ʬ´ô, OTA, 3¥Ý¡¼¥ÈVCCS
abstract £´¼¡¸µ¥«¥ª¥¹Åª¥¹¥Ñ¥¤¥­¥ó¥°È¯¿¶´ï(£´¼¡¸µCSO)¤òÄó°Æ¤¹¤ë¡£·Ï¤Ï¡¢£³¤Ä¤Î¥­¥ã¥Ñ¥·¥¿¡¢£³¥Ý¡¼¥ÈÅÅ°µÀ©¸æÅÅή¸»(3PVCCS)¡¢¥¹¥¤¥Ã¥Á¡¢ÄêÅÅ°µ¸»¤Ç¹½À®¤µ¤ì¤ë¹â¼¡¸µÀÑʬȯ²Ð·Ï¤Ç¤¢¤ë¡£·Ï¤ÏÍÍ¡¹¤Êʬ´ô¸½¾Ý¤òÄ褹¤ë¡£¤Þ¤¿¡¢£³¤Ä¤ÎOTA¤òÍѤ¤¤¿3PVCCS¤Î¼ÂÁõË¡¤òÄó°Æ¤¹¤ë¡£OTA¤ÎÀܳ¥Ñ¥¿¡¼¥ó¤Ï¿ô¿¤¯Â¸ºß¤¹¤ë¤¬¡¢¤³¤ì¤é¤Î¥Ñ¥¿¡¼¥ó¤ò²óÏ©ÊýÄø¼°¤ÎÆÃÀ­º¬¤Ë¤è¤Ã¤ÆʬÎष¡¢½ê˾¤Î¸½¾Ý¤òÄ褹¤ë£´¼¡¸µCSO¤Î¹çÀ®Ë¡¤Ë¤Ä¤¤¤Æ¹Í»¡¤¹¤ë¡£¤³¤Î¹Í»¡¤Ë´ð¤Å¤¯´ÊÁǤʼÂÁõ²óÏ©¤Ë¤è¤Ã¤Æ¡¢£´¼¡¸µCSO¤¬Ä褹¤ëŵ·¿Åª¤Ê¸½¾Ý¤ò³Îǧ¤¹¤ë¡£

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keywords ȿžÆþÎÏ, ¿ç̲³ÐÀÃȯ¿¶´ï, ÃÐĥȯ¿¶´ï, Ʊ´ü
abstract ²æ¡¹¤Ï¤³¤ì¤Þ¤Ç¡¢¿ç̲³ÐÀÃȯ¿¶´ï¤¬Ä褹¤ë´ðËܸ½¾Ý¤ò¹Í»¡¤·¤Æ¤­¤¿¡£Æ±È¯¿¶´ï¤Ï¡¢¥Ò¥È¿ç̲³ÐÀÃ¥â¥Ç¥ë¤Ë´ð¤Å¤¤¤¿¡¢¤·¤­¤¤Ãͤ¬¼þ´üŪ¤ËÊѲ½¤¹¤ëÃÐĥȯ¿¶´ï¤Ç¤¢¤ë¡£¤³¤³¤Ç¡¢¤·¤­¤¤Ãͤμþ´ü¤ÏÃϵå¤Î¼þ´ü¤ËÂбþ¤¹¤ë¡£¥Ñ¥é¥á¡¼¥¿¤Ë°Í¸¤·¤ÆƱȯ¿¶´ï¤Ï¼þ´üŪ¡¢¥«¥ª¥¹ÅªÅù¤ÎÍÍ¡¹¤Ê¸½¾Ý¤òÄ褹¤ë¡£ËÜÏÀʸ¤Ç¤Ï¡¢Æ±È¯¿¶´ï¤Ë¸÷»É·ã¤ËÂбþ¤·¤¿È¿Å¾ÆþÎϤò°õ²Ã¤·¡¢Æ±È¯¿¶´ï¤¬Ä褹¤ëƱ´ü¸½¾Ý¤ò¹Í»¡¤¹¤ë¡£Î㤨¤Ð¡¢È¿Å¾ÆþÎϤˤè¤êÊ£»¨¤Ê¸½¾Ý¤¬¤·¤­¤¤Ãͤμþ´ü¤ËƱ´ü¤·¤¿¾õÂ֤ؤÈÊѲ½¤¹¤ë¡£¤³¤ì¤Ï¡¢¸÷»É·ã¤Ë¤è¤ë»þº¹¤Ü¤±²ò¾ÃË¡¤Î´ðËܤˤâ¤Ê¤Ã¤Æ¤¤¤ë¤«¤â¤·¤ì¤Ê¤¤¡£¤Þ¤¿¡¢ÂåɽŪ¤Ê¸½¾Ý¤Ï²óÏ©¼Â¸³¤Ë¤è¤Ã¤Æ³Îǧ¤µ¤ì¤Æ¤¤¤ë¡£



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abstract ÈóÀþ·Á²óÏ©¤ÎÀ߷ס¦²òÀÏÌäÂê¤Ë¤ª¤¤¤Æ¡¤ÈóÀþ·ÁÁǻҤÎÆÃÀ­¤¬ÊÑÆ° ¤·¤¿¤È¤­¤Ë²óÏ©Á´ÂΤÎÆÃÀ­¤¬¤É¤Î¤è¤¦¤ËÊÑÆ°¤¹¤ë¤«¤ò¸«ÀѤâ¤ë¤³ ¤È¤Ï¡¤¿®ÍêÀ­¤Î¹â¤¤²óÏ©¤òÀ߷פ¹¤ë¾å¤Ç½ÅÍפǤ¢¤ë¡¥¤³¤Î¤è¤¦¤Ê ÊÑÆ°²òÀϤǤϡ¤ÈóÀþ·ÁÁǻҤÎÆÃÀ­¤ò½¸¹çÃͼÌÁü¤Çɽ¤¹¤³¤È¤¬¤·¤Ð ¤·¤ÐÍ­¸ú¤È¤Ê¤ë¡¥¤·¤«¤·½¸¹çÃͼÌÁü¤ò´Þ¤àÈóÀþ·ÁÊýÄø¼°¤Î²ò¡ÊÅÀ ¤Ç¤Ï¤Ê¤¯½¸¹ç¡Ë¤Ï¤·¤Ð¤·¤ÐÊ£¿ô¤ÎÏ¢·ëÀ®Ê¬¤«¤é¹½À®¤µ¤ì¤ë¡¥¤½¤Î ¤è¤¦¤Ê¾ì¹ç¡¤²ò½¸¹ç¤Î¤¹¤Ù¤Æ¤ÎÏ¢·ëÀ®Ê¬¤òµá¤á¤ë¤³¤È¤¬É¬Í×¤È¤Ê ¤ê¡¤Èó¾ï¤ËÆñ¤·¤¤ÌäÂê¤È¤Ê¤ë¡¥ËÜÏÀʸ¤Ç¤Ï¡¤ÈóÀþ·ÁÄñ¹³¤ÎÁÇ»ÒÆà À­¤¬¡ÖÆó¤Ä¤Î¶èʬŪÀþ·Á´Ø¿ô¤Ë¤è¤Ã¤Æ¶´¤Þ¤ì¤¿ÈóÆÌ¿³Ñ·Á¡×¤Çɽ ¤µ¤ì¤ë``¶èʬŪÂæ·Á¼ÌÁü''¤Ë¤è¤Ã¤ÆÍ¿¤¨¤é¤ì¤ë¾ì¹ç¤òÁÛÄꤷ¡¤¤½ ¤Î¤è¤¦¤ÊÈó·èÄêÀ­ÁǻҤò´Þ¤à²óÏ©¤Î¤¹¤Ù¤Æ¤Î²ò¡Ê¤è¤êÀµ³Î¤Ë¤Ï¤¹ ¤Ù¤Æ¤Î²ò½¸¹ç¤ò´Þ¤à¿ÌÌÂΡˤòµá¤á¤ë¥¢¥ë¥´¥ê¥º¥à¤òÄó°Æ¤¹¤ë¡¥

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keywords ¥Ë¥å¡¼¥È¥ó¥Û¥â¥È¥Ô¡¼Ë¡, Á´²òõº÷, Æ°ºîÅÀ²òÀÏ, ÈóÀþ·Á²óÏ©, ²óÏ©¥·¥ß¥å¥ì¡¼¥·¥ç¥ó
abstract ľή²òÀϤϲóÏ©À߷פˤª¤±¤ë½ÅÍפʥ¹¥Æ¥Ã¥×¤Ç¤¢¤ë¤¬¡¤¶áǯ¡¤IC¤ÎÂ絬Ìϲ½¤È Ê£»¨²½¤Ëȼ¤¤¡¤Æäˡ¤Â絬ÌϤʲóÏ©¤ÎÊ£¿ô¸Ä¤ÎÆ°ºîÅÀ¤òµá¤á¤ë¤³¤È¤¬É¬ÍפˤʤäƤ­¤¿¡¥ ¤½¤³¤Ç¡¤¤³¤³¤Ç¤Ï¡¤¥Ë¥å¡¼¥È¥ó¡¦¥Û¥â¥È¥Ô¡¼Ë¡¤Ë´ð¤Å¤¤¤¿SPICE ¤Î²áÅϲòÀϥġ¼¥ë¤òÍѤ¤¤¿²òÀϼêË¡¤òÄó°Æ¤¹¤ë¡¥ ¤³¤Î¾ì¹ç¡¤²óÏ©¤Ë´Þ¤Þ¤ì¤Æ¤¤¤ëÀµµ¢´Ô¥ë¡¼¥×¤Î³Æ£±ÅÀ ¤«¤é¤ÎÀáÅÀÅÅ°µ¤òÊÑ¿ô¤È¤·¤Æ¼è¤ê½Ð¤¹¤³¤È¤Ë¤è¤Ã¤ÆÊ£¿ô¸Ä¤ÎÆ°ºîÅÀ¤òõº÷¤Ç¤­¤ë¼êË¡¤òÄó°Æ¤¹¤ë¡¥ ¤³¤Î¼êË¡¤Ï²óÏ©ÊýÄø¼°¤ä¥ä¥³¥Ó¡¼¹ÔÎó¤òµá¤á¤ë¤³¤È¤Ê¤¯Æ°ºîÅÀ²òÀϤ¬ ¤Ç¤­¤ë¤¿¤á¤ËÈÆÍÑÀ­¤ÎÅÀ¤ÇÍ¥¤ì¤Æ¤¤¤ë¡¥¤Þ¤¿¡¤Á´²ò¤òõº÷¤¹¤ë¤¿¤á¤Ë²ò¶ÊÀþ¤¬ ¸ÉΩ¤·¤¿»Þ¤ò»ý¤Ä¤è¤¦¤Ê¾ì¹ç¤Ë¤â ŬÍѤǤ­¤ë¥¢¥ë¥´¥ê¥º¥à¤òÄó°Æ¤¹¤ë¡¥

Âê̾ ¿¼¡¸µ¥¦¥§¡¼¥Ö¥Ç¥£¥¸¥¿¥ë¥Õ¥£¥ë¥¿¤òÍѤ¤¤¿ÉԶѰìÀþÏ©¤Î»þ´ÖÎΰè²òÀϤ˴ؤ¹¤ë°ì¹Í»¡
Ãø¼Ô ¡û½ïÊý ¾­¿Í, À¾ ůÀ¸(¶å½£Âç³ØÂç³Ø±¡¥·¥¹¥Æ¥à¾ðÊó²Ê³Ø¸¦µæ±¡¾ðÊ󹩳ØÉôÌç)
keywords ʬÉÛÄê¿ô¡¦½¸ÃæÄê¿ôº®ºß²óÏ©, »þ´ÖÎΰè¿ôÃͲò, »þ´ÖÎΰèÍ­¸Âº¹Ê¬Ë¡, ¿¼¡¸µ¥¦¥§¡¼¥Ö¥Ç¥£¥¸¥¿¥ë¥Õ¥£¥ë¥¿
abstract ¿¼¡¸µ¥¦¥§¡¼¥Ö¥Ç¥£¥¸¥¿¥ë¥Õ¥£¥ë¥¿¡ÊMD-WDF)¤Î¸¶Íý¤Ë´ð¤Å¤¤¤¿FDTDË¡¡Ê»þ´ÖÎΰ躹ʬˡ¡Ë¤òÍѤ¤¤ÆʬÉÛÄê¿ô¡¦½¸ÃæÄê¿ôº®ºß²óÏ©¤Î»þ´ÖÎΰè²ò¤ò¿ôÃÍ·×»»¤·¤¿¡¥½¾Íè¤ÎMD-WDF¤Ï³Ê»ÒÅÀ¤òÅù´Ö³Ö¤Ë¤·¤«ÇÛÃ֤Ǥ­¤Ê¤¤À©Ì󤬤¢¤ë¤¿¤á¡¤ÉԶѰìÀþÏ©¤ò·×»»¤¹¤ë¾ì¹ç¡¤ÇÈŤÎû¤¤ÇÞ¼Á¤Ë¹ç¤ï¤»¤Æ³Ê»ÒÅÀÉý¤ò¼è¤é¤Ê¤¯¤Æ¤Ï¤Ê¤é¤Ê¤¤¡¥¤·¤¿¤¬¤Ã¤Æ¡¤ÇÞ¼Á¤ÎÅÁÈ®ÅÙ¤¬Â礭¤¯ÊѲ½¤¹¤ëÉԶѰìÀþÏ©¤ò·×»»¤¹¤ë¾ì¹ç¡¤·×»»¼¡¸µ¤ÎÁý²Ã¤¬Í½ÁÛ¤µ¤ì¤ë¡¥ËܹƤǤϡ¤½¾Íè¤ÎÀ©Ìó¤ò´ËϤǤ­¤ëMD-WDF¤ò¹½À®¤·¡¤³Ê»ÒÅÀ¤òÉԶѰì¤ËÇÛÃ֤Ǥ­¤ë¤è¤¦¤Ë²þÎɤ·¤¿¡¥Äó°Æ¼êË¡¤ÎÍ­ÍÑÀ­¤Ë¤Ä¤¤¤Æ¤Ï¡¤¿ôÃͼ¸³¤Ë¤è¤Ã¤Æ¸¡¾Ú¤·¤¿¡¥



¥»¥Ã¥·¥ç¥ó Ba2-1 MOS¥¢¥Ê¥í¥°²óÏ© (23Æü 9:00¡Á10:40)
ºÂĹ: ÈÄÁÒůϯ(Åì¼Ç)

Âê̾ ÄãÏĤßÅÅή¸º»»²óÏ©¤òÍѤ¤¤¿ÆóÃÊÀѤßOTA
Ãø¼Ô ¹â·¦Åý(Ãæ±ûÂç³ØÍý¹©³ØÉôÅŵ¤ÅŻҾðÊóÄÌ¿®¹©³Ø²Ê), ¡ûÅÏÉôμ, ¹â·¦¤«¤ò¤ê(Å쳤Âç³Ø¹©³ØÉôÅŻҹ©³Ø²Ê)
keywords ÆóÃÊÀѤß, ¥Á¥ã¥Í¥ëĹÊÑÄ´¸ú²Ì, OTA, ¥«¥ì¥ó¥È¥Û¥í¥ï
abstract A low distortion OTA for short channel devices is proposed¡¥The proposed OTA consists of two MOSFET's, current subtrac- tor in which both MOFET's have same drain to source voltage by employing current follower.The characteristic of the proposed OTA has been confirmed by SPICE simulation.

Âê̾ A Constant Bandwidth CMOS VGA ckt.
Ãø¼Ô Khayrollah Hadidi(Urmia University / Electrical Enginnering Department), °ËÅì¡¡½¼µÈ, ¡ûÂçÅç¡¡½¡Ç·, º´¡¹ÌÚ¡¡¾»¹À, ¾¾ËÜ¡¡Î´(Áá°ðÅÄÂç³Ø¡¡/¡¡Íý¹©³ØÉô¡¡Åŵ¤ÅŻҾðÊ󹩳زʡ¡Âç³Ø±¡¡¡Íý¹©³Ø¸¦µæ²Ê)
keywords ¥Õ¥£¥ë¥¿, ±é»»ÁýÉý´ï, CMOS
abstract ½¾Í衤VGA²óÏ©¤Ï²ÄÊÑÄñ¹³¤òÍѤ¤¤¿Ééµ¢´Ô²óÏ©¤Ê¤É¤Ë¤è¤Ã¤Æ¼Â¸½¤µ¤ì¤Æ¤¤¤ë¡¥¤·¤«¤·¡¤¤½¤Î¹½Â¤¾å¡¤ÁýÉý´ï¤ÎÍøÆÀ¤½¤Î¤â¤Î¤òÊѲ½¤µ¤»¤Æ¤¤¤ë¤Î¤Ç¡¤ÍøÆÀ¤¬ÂÓ°èÉý¤Ë°Í¸¤·¤Æ¤·¤Þ¤¤¡¤ÍøÆÀ¤òÊѲ½¤µ¤»¤ë¤È¼þÇÈ¿ô¤Ë´Ø¤·¤ÆÂ礭¤ÊÀ©¸Â¤ò¼õ¤±¤Æ¤·¤Þ¤¦¡¤¤È¤¤¤¦·çÅÀ¤ò»ý¤Ã¤Æ¤¤¤¿¡¥ ¤½¤³¤Ç¡¤ÁýÉý´ï¤ÎÁ°¤ËÆþÎÏÀ©¸æ²óÏ©¤òÁȤ߹þ¤ß¡¤ÆþÎÏ¿®¹æ¤òÊѲ½¤µ¤»¤ë¤³¤È¤Ë¤è¤Ã¤Æ¡¤²óÏ©Á´ÂΤÎÁýÉýΨ¤¬ÊѲ½¤·¤¿¤«¤Î¤è¤¦¤Ë¸«¤»¤ëÊýË¡¤ò¹Í¤¨¤¿¡¥¤³¤ÎÊýË¡¤òÍѤ¤¤ë¤³¤È¤Ë¤è¤Ã¤Æ¡¤ÁýÉý´ï¼«ÂΤÎÆÃÀ­¤ò¸ÇÄꤷ¤Æ²óÏ©Á´ÂΤÎÁýÉýΨ¤òÊѲ½¤µ¤»¡¤ÂÓ°èÉý¤ËÆÈΩ¤·¤¿ÍøÆÀ¤ò»ý¤Ä¿··¿VGA²óÏ©¤ò¼Â¸½¤·¤¿¡¥º£²ó¡¤¤³¤Î¿··¿VGA²óÏ©¤Ë¤Ä¤¤¤Æ¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤ò¹Ô¤Ã¤¿¤Î¤Ç¡¤¤½¤Î³µÍפòÊó¹ð¤¹¤ë¡¥

Âê̾ ǽưŪ¤Ê¼ù¾õÆ͵¯¥Ï¡¼¥É¥¦¥§¥¢¥â¥Ç¥ë¤ÎµÕÅÁÈÂÆÃÀ­¤ÎÈóÀþ·ÁÀ­
Ãø¼Ô ¡û±Ê³¤¡¡¼£¼ù, é­¡¡½¡ÍÛ(ÆüËÜÂç³ØÍý¹©³ØÉô), À÷롡Ϲ§((³ô)À÷ëÅÅ»Ò), º´Çì¡¡¾¡ÉÒ, ´Øº¬¡¡¹¥Ê¸(ÆüËÜÂç³ØÍý¹©³ØÉô)
keywords ¼ù¾õÆ͵¯, ǽưÀþÏ©, ¥Ï¡¼¥É¥¦¥§¥¢¥â¥Ç¥ë, µÕÅÁÈÂ
abstract ¡¡²æ¡¹¤Ï¡¤¿À·Ð²óÏ©ÌÖ¤ò¹½À®¤¹¤ë´ðËÜñ°Ì¤Ç¤¢¤ë¥Ë¥å¡¼¥í¥ó¤ÎÆÃÀ­¤ò¥Ï¡¼¥É¥¦¥§¥¢¤Ë¤è¤ë¼Â¸½¤¹¤ë¸¦µæ¤ò¹Ô¤Ã¤Æ¤¤¤ë¤ª¤ê¡¤¤½¤Î¤Ò¤È¤Ä¤È¤·¤Æ¡¤¼ù¾õÆ͵¯¤ÎǽưŪÆÃÀ­¤ËÃíÌܤ·¡¤Àè¤ËµÕÅÁÈÂÆÃÀ­¤ò¥·¥ß¥å¥ì¡¼¥È¤Ç¤­¤ë¥Ï¡¼¥É¥¦¥§¥¢¥â¥Ç¥ë¤òÄó°Æ¤·¤¿¡¥ËܹƤǤϡ¤Àè¤ËÄó°Æ¤·¤¿¥â¥Ç¥ë¤Îȯ²Ð¥Ñ¥¿¡¼¥ó¤ËÃíÌܤ·¡¤Ç½Æ°Åª¤Ê¼ù¾õÆ͵¯¥Ï¡¼¥É¥¦¥§¥¢¥â¥Ç¥ë¤Î»þ¶õ´Ö²Ã»»ÆÃÀ­¤ÈǽưŪÆÃÀ­¤òÃæ¿´¤Ë¸¡Æ¤¤ò¹Ô¤¤¡¤¤½¤Î·ë²Ì¤È¤·¤Æ¡¤ËÜ¥â¥Ç¥ë¤Î¶õ´ÖŪ²Ã»»ÆÃÀ­¤òÌÀ¤é¤«¤Ë¤·¤Æ¤¤¤ë¡£¤Þ¤¿¡¤ËÜ¥â¥Ç¥ë¤ÎǽưŪ¤ÊÆÃÀ­¤Ë¤ª¤¤¤Æ¡¤ËÜ¥â¥Ç¥ë¤ÎÉéÀ­Äñ¹³Éô¤Î¥²¡¼¥ÈÅÅ°µ¤Ï²óÏ©¤ÎÆ°ºî¤Ë¿¼¤¯´Ø¤ï¤Ã¤Æ¤¤¤ë¤³¤È¤òÌÀ¤é¤«¤Ë¤·¤Æ¤¤¤ë¡¥

Âê̾ Dynamics of Dickson Charge Pump Circuit
Ãø¼Ô ¡ûKenji Kashiwase, Haruo Kobayashi, Nobuyuki Kuroiwa(·²ÇÏÂç³Ø¡¡¹©³ØÉô¡¡Åŵ¤ÅŻҹ©³Ø²Ê), Naoto Hayasaka(·²ÇÏÂç³Ø¡¡¹©³ØÉô¡¡Åŵ¤ÅŻҹ©³Ø²Ê.), Takao Myono, Tatsuya Suzuki, Takashi Iijima, Shuhei Kawai(»°ÍÎÅŵ¡¡¡¥»¥ß¥³¥ó¥À¥¯¥¿¡¼¥«¥ó¥Ñ¥Ë¡¼)
keywords Charge Pump, High Voltage Generation, Power Supply Circuit, State Space Approach, Efficiency
abstract This paper presents dynamics of Dickson charge pump circuits for high voltage generation. Several formulas regarding their output voltage, energy and efficiency¡¡in the transient state and the steady state are derived.



¥»¥Ã¥·¥ç¥ó Bd2-1 Ŭ±þ¿®¹æ½èÍý I (23Æü 9:25¡Á10:15)
ºÂĹ: Åï°Â¼Â¼£(´ØÀ¾Âç)

Âê̾ QPSKÉüÄ´¤Ë¤ª¤±¤ë¼þÇÈ¿ô¥ª¥Õ¥»¥Ã¥È¿äÄêË¡
Ãø¼Ô ¡ûÈøÊݼêÌмù, ±Ê°æÂç²ð, ¼¯»ÒÅè·û°ì(°ñ¾ëÂç³Ø¹©³ØÉô¥á¥Ç¥£¥¢ÄÌ¿®¹©³Ø²Ê)
keywords ¼þÇÈ¿ô¥ª¥Õ¥»¥Ã¥È, QPSK, BPF, ¥·¥ã¥É¡¼¥¤¥ó¥°, ¥Ç¥£¥¸¥¿¥ë¿®¹æ½èÍý
abstract QPSKÉüÄ´»þ¤Ëľ¸ò¸¡ÇÈÉô¤Î¶ÉÉôȯ¿¶²óÏ©¤Ë¼þÇÈ¿ô¥ª¥Õ¥»¥Ã¥È¤¬¤¢¤ë¤ÈBER¤¬Îô²½¤¹¤ë¡¥½¾Í褫¤é¤³¤Î¼þÇÈ¿ô¥ª¥Õ¥»¥Ã¥È¤ò¿äÄꤹ¤ë¼êË¡¤¬Äó°Æ¤µ¤ì¤Æ¤¤¤ë¤¬¡¤Â礭¤Ê¼þÇÈ¿ô¥ª¥Õ¥»¥Ã¥È¤ä»¨²»¤¬Â¸ºß¤¹¤ë´Ä¶­¤Ç¤³¤ì¤ò¿äÄê¤Ç¤­¤ë¼êË¡¤Ï¤¢¤Þ¤ê¸¡Æ¤¤µ¤ì¤Æ¤¤¤Ê¤¤¡¥»¨²»¤Î¸ºß¤¹¤ë´Ä¶­¤Ç´Ê°×¤ËÂ礭¤Ê¼þÇÈ¿ô¥ª¥Õ¥»¥Ã¥È¤ò¿äÄꤹ¤ë¤Ë¤Ï¥Ç¥£¥¸¥¿¥ëŬ±þBPF¤¬Í­¸ú¤Ç¤¢¤ë¡¥¤·¤«¤·¼õ¿®µ¡¤Ç¤ÏÂÓ°è³°»¨²»¤òÍÞ°µ¤¹¤ëÌÜŪ¤ÇÁÞÆþ¤µ¤ì¤ëIFÂÓBPF¤Ë¤è¤ê¤Ë»¨²»¤¬Í­¿§²½¤µ¤ì¤ë¤¿¤á¼ý«Ãͤ¬ÌÜɸÃͤËÂФ·¤Æ¥Ð¥¤¥¢¥¹¸íº¹¤ò»ý¤Ä¡¥ËܹƤÇÄó°Æ¤¹¤ë¼êË¡¤Ï¡¤BPF¤Î¤â¤Ä°ÌÁêÆÃÀ­¤¬¿¶ÉýÆÃÀ­¤ÎÃæ¿´¼þÇÈ¿ô¤Ë¤ª¤¤¤Æ¥¼¥í¤È¤Ê¤ëÅÀ¤ËÃåÌܤ·¡¤¤³¤ÎÆÃÀ­¤òÍѤ¤¤ÆBPF·¸¿ô¤ËÂФ·¤ÆÉéµ¢´Ô¤ò¤«¤±¤ÆÀ©¸æ¤¹¤ë¼êË¡¤Ç¤¢¤ë¡¥¤³¤Î¤È¤­QPSK¤ÎƱÁê¥Á¥ã¥Í¥ë¤Èľ¸ò¥Á¥ã¥Í¥ë¤Î»¨²»¤¬ÌµÁê´Ø¤Ç¤¢¤ë¤¿¤á¥Ð¥¤¥¢¥¹¸íº¹¤¬È¯À¸¤·¤Ê¤¤¡¥¤µ¤é¤ËÄó°Æ¼êË¡¤Ï¥·¥ã¥É¡¼¥¤¥ó¥°¤Ê¤É¤Î²óÀþÀÚÃǾõÂ֤ˤª¤¤¤Æ¤â¾åµ­¤Ç½Ò¤Ù¤¿»¨²»¤Î̵Áê´ØÀ­¤«¤é¸½¾õ¤òÊÝ»ý¤·¤Æ¥É¥ê¥Õ¥È¤·¤Ê¤¤¤¿¤á¡¤°ÜÆ°ÂÎÄÌ¿®¤ËŬ¤·¤¿¼þÇÈ¿ô¥ª¥Õ¥»¥Ã¥È¿äÄê¼êË¡¤Ç¤¢¤ë¡¥Çò¿§¥¬¥¦¥¹»¨²»ÅÁÁ÷Ï©¤Ë¤ª¤±¤ëBER¤Ë¤è¤êÄó°Æ¼êË¡¤Îɾ²Á¤ò¹Ô¤Ã¤¿·ë²Ì¡¤Äó°Æ¼êË¡¤Ï½¾Íè¤ÎŬ±þBPF¤ÈÈæ³Ó¤·¤ÆÄ㤤BER¤¬ÆÀ¤é¤ì¤ë¤³¤È¤ò³Îǧ¤·¤¿¡¥

Âê̾ An Adaptive Line Enhancer Based on Constrained FIR Filter
Ãø¼Ô ¡ûJames Okello(ÅŻҾðÊ󹩳زʶ彣¹©¶ÈÂç³Ø), Hiroshi¡¡Ochi(¶å½£¹©¶ÈÂç³ØÅŻҾðÊ󹩳زÊ), Yoshio¡¡Itoh(Ä»¼èÂç³ØÅŵ¤ÅŻҹ©³Ø²Ê)
keywords Adaptive, Filter, Line enhancer, Notch
abstract In this paper, we propose an adaptive algorithm for adaptive line enhancer (ALE)based on unit norm and zeros constrain. By incorporating these two constrains, we show that the effect of a white disturbance signal on to the convergence of the ALE is eliminated in the mean sense. Furthermore, by introducing a control mechanism for a second order ALE, it is shown that the stability and convergence of the system is guaranteed even if there is a sudden change in the frequency of the input sinusoidal signal. Simulation results that are presented, verify these properties.



¥»¥Ã¥·¥ç¥ó Bd2-2 Ŭ±þ¿®¹æ½èÍý II (23Æü 10:30¡Á11:45)
ºÂĹ: Èæ²ÅÎÉ¿Í(ÆüËÜTI)

Âê̾ ǽưÁû²»À©¸æ¥·¥¹¥Æ¥à¤Ë¤ª¤±¤ëÊä½õ¥Õ¥£¥ë¥¿¤ÎƱÄê¤òɬÍפȤ·¤Ê¤¤Ï¢Î©ÊýÄø¼°Ë¡
Ãø¼Ô ¡ûÅï°Â¼Â¼£(´ØÀ¾Âç³Ø¹©³ØÉô), µ×°Â ½¤(¹­ÅçÂç³Ø¹©³ØÉô), Æ£°æ·òºî(ɱϩ¹©¶ÈÂç³Ø¹©³ØÉô), ¿÷¸µ¹§É×(¹­ÅçÂç³Ø¹©³ØÉô)
keywords ǽưÁû²»À©¸æ, ϢΩÊýÄø¼°Ë¡, Êä½õ¥Õ¥£¥ë¥¿, Ŭ±þ¥¢¥ë¥´¥ê¥º¥à, ·×»»ÎÌ
abstract ϢΩÊýÄø¼°Ë¡¤Ï¸íº¹·ÐÏ©·Ï¤Î¿äÄê¤òɬÍפȤ·¤Ê¤¤Ç½Æ°Áû²»À©¸æ¥¢¥ë¥´¥ê¥º¥à¤Î°ì¤Ä¤Ç¤¢¤ë¡¥ ϢΩÊýÄø¼°Ë¡¤Ç¤Ï¡¤Áû²»¸¡½Ð¥Þ¥¤¥¯¥í¥Û¥ó¤«¤é¸íº¹¸¡½Ð¥Þ¥¤¥¯¥í¥Û¥ó¤Ë »ê¤ëÁû²»À©¸æ¥Õ¥£¥ë¥¿¤ò´Þ¤à·ÏÁ´ÂΤÎÅÁã´Ø¿ô¤ò¡¤Êä½õ¥Õ¥£¥ë¥¿¤È¤·¤ÆƱÄꤹ¤ëɬÍפ¬¤¢¤ë¤¿¤á¡¤·×»»Î̤¬Áý²Ã¤·¤Æ¤·¤Þ¤¦¡¥ËܹƤǤϡ¤¤³¤ÎÊä½õ¥Õ¥£¥ë¥¿¤ÎƱÄê¤òɬÍפȤ·¤Ê¤¤Ï¢Î©ÊýÄø¼°Ë¡¤òÍѤ¤¤¿Ç½Æ°Áû²»À©¸æ¥·¥¹¥Æ¥à¤òÄó°Æ¤¹¤ë¡¥¤³¤³¤Ç¤Ï¡¤¸íº¹¿®¹æ¤ÈÆþÎÏ¿®¹æ¤ò¤¢¤ëÄøÅÙ¤ÎŤµµ­²±¤µ¤»¤ë¤³¤È¤Ë¤è¤ê¡¤Êä½õ¥Õ¥£¥ë¥¿¤ÎƱÄê¤òÉÔÍפȤ·¤Æ¤¤¤ë¡¥Äó°Æ¼êË¡¤Ë¤è¤ì¤Ð¡¤½¾ÍèË¡¤ÎÌó4ʬ¤Î3¤Î·×»»Î̤ǤۤÜƱÅù¤Î·ë²Ì¤¬ÆÀ¤é¤ì¤ë¡¥¤Þ¤¿¡¤¥·¥ß¥å¥ì¡¼¥·¥ç¥óÎ㤫¤é¡¤½¾Íè¼êË¡¤ÎÍøÅÀ¤â¼º¤ï¤ì¤Æ¤¤¤Ê¤¤¤³¤È¤¬³Îǧ¤µ¤ì¤ë¡¥

Âê̾ ²»À¼¤Î´ðËܼþ´ü¤òÍøÍѤ·¤¿Àþ·Áͽ¬¤Ë´ð¤Å¤¯Áû²»ÍÞ°µË¡
Ãø¼Ô ¡ûÀ¡¿·(Ä»¼èÂç³Ø¹©³ØÉô), Æ£°æ¡¡·òºî(ɱϩ¹©¶ÈÂç³Ø¹©³ØÉô), °ËÆ£¡¡ÎÉÀ¸, Éû°æ¡¡Íµ(Ä»¼èÂç³Ø¹©³ØÉô), ÃæÀ¾¡¡¸ù(Ä»¼èÂç³Ø¶µ°éÃÏ°è²Ê³ØÉô)
keywords Áû²»ÍÞ°µ, Àþ·Áͽ¬´ï, ²»À¼´ðËܼþ´ü
abstract Í­À¼²»¤Ïû»þ´Ö¤Ç´Ñ¬¤¹¤ë¤È´ðËܼþ´ü¤òÍ­¤¹¤ëÄê¾ï¿®¹æ¤Ç¤¢¤ë¤È¤ß¤Ê¤¹¤³¤È¤¬¤Ç¤­¤ë¡¥ËÜÏÀʸ¤Ç¤Ï¡¤¤³¤ÎÀ­¼Á¤òÍøÍѤ·¤¿Àþ·Áͽ¬´ï¤Ë¤è¤ê¡¤²»À¼¤Ë½Å¾ö¤¹¤ë¼þ°ÏÁû²»¤òÍÞ°µ¤¹¤ëÊýË¡¤Ë¤Ä¤¤¤Æ¸¡Æ¤¤·¤Æ¤¤¤ë¡¥¤¹¤Ê¤ï¤Á¡¤²»À¼¤Î´ðËܼþ´üʬ²áµî¤Î¿®¹æ¤È¤½¤Î¼þÊÕ¿®¹æ¤Î¤ß¤òÍѤ¤¤ëÀþ·Áͽ¬´ï¤ò¹½À®¤·¡¤¸½ºß¤Î¿®¹æ¤òͽ¬¤¹¤ë¡¥¤³¤Î¤è¤¦¤ÊÀþ·Áͽ¬´ï¤Ç¤Ï¡¤Í½Â¬ÃͤȤ·¤ÆÀþ·Á·ë¹ç¤µ¤ì¤ë²áµî¤Î¿®¹æ¤È¶¯¤¤Áê´Ø¤ò¤â¤Ä¸½ºß¤Î²»À¼¿®¹æ¤òÍưפËͽ¬¤¹¤ë¤³¤È¤¬¤Ç¤­¤ë¡¥¤·¤«¤·¡¤¤½¤Î²áµî¤Î¿®¹æ¤ÈÁê´Ø¤ò¤â¤¿¤Ê¤¤¿®¹æÀ®Ê¬¤Ïͽ¬¤¹¤ë¤³¤È¤¬¤Ç¤­¤Ê¤¤¡¥¤·¤¿¤¬¤Ã¤Æ¡¤Àþ·Áͽ¬´ï¤Îͽ¬ÃͤÏÁû²»ÍÞ°µ¤µ¤ì¤¿²»À¼¿®¹æ¤òɽ¸½¤¹¤ë¤³¤È¤Ë¤Ê¤ë¡¥ËÜÏÀʸ¤Ç¤Ï¡¤¤³¤Î¤è¤¦¤ÊÁû²»ÍÞ°µÊý¼°¤Ë¤Ä¤¤¤Æ¸¡Æ¤¤·¤Æ¤ª¤ê¡¤¤¤¤¯¤Ä¤«¤Î¥·¥ß¥å¥ì¡¼¥·¥ç¥ó·ë²Ì¤«¤é¹­ÂÓ°èÁû²»¤ËÂФ¹¤ëËܼêË¡¤ÎÍ­¸úÀ­¤¬³Îǧ¤µ¤ì¤ë¡¥

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Ãø¼Ô ¡ûÀî¾å¡¡Íµ¹¬, °¤Éô¡¡Àµ±Ñ, ÀîËô¡¡À¯À¬(ÅìËÌÂç³ØÂç³Ø±¡¹©³Ø¸¦µæ²Ê)
keywords Ŭ±þ¥Þ¥¤¥¯¥í¥Û¥ó¥¢¥ì¡¼, °ìÈ̲½¥µ¥¤¥É¥í¡¼¥Ö¥­¥ã¥ó¥»¥é, ÏüÔÄÉÈø, ¥Ö¥í¥Ã¥¯Å¬±þ, ²ÄÊÑ¥¹¥Æ¥Ã¥×¥µ¥¤¥º
abstract ËܹƤǤϡ¤Ãø¼Ô¤é¤¬¤³¤ì¤Þ¤Ç¤ËÄó°Æ¤·¤Æ¤¤¤¿Å¬±þÏüÔÄÉÈø2¥Á¥ã¥ó¥Í¥ë¥Þ¥¤¥¯¥í¥Û¥ó¥¢¥ì¡¼¤Î·×»»Î̤òºï¸º¤¹¤ë¡¥Äó°ÆË¡¤Ç¤Ï¡¤Ãø¼Ô¤é¤¬¤³¤ì¤Þ¤Ç¤ËÄó°Æ¤·¤Æ¤­¤¿¼êË¡¤Ë¼þÇÈ¿ôÎΰè¥Ö¥í¥Ã¥¯Å¬±þ¥¢¥ë¥´¥ê¥º¥à¤òŬÍѤ¹¤ë¤³¤È¤Ç·×»»Î̤òºï¸º¤¹¤ë¡¥¤Þ¤¿¡¤·×»»Î̤òºï¸º¤¹¤ë¤³¤È¤Ë¤è¤ëÄÉÈøÀ­Ç½¤ÎÎô²½¤òÍÞ¤¨¤ë¤¿¤á¤Ë¡¤ÏüÔÄÉÈø¤ËÍѤ¤¤ë¥¹¥Æ¥Ã¥×¥µ¥¤¥º¤òŬ±þŪ¤ËÊѲ½¤µ¤»¤ë¥¢¥ë¥´¥ê¥º¥à¤òÄó°Æ¤¹¤ë¡¥·×»»µ¡¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤Ë¤ª¤¤¤Æ¡¤Äó°Æ¤¹¤ë¼êË¡¤Ï¡¤¤³¤ì¤Þ¤Ç¤ËÄó°Æ¤·¤Æ¤­¤¿¼êË¡¤ÈÈæ¤Ù¡¤·×»»»þ´Ö¤¬ÂçÉý¤Ëºï¸º¤µ¤ì¡¤½ÐÎÏSNÈæ¤ÎÎô²½¤â1dB°Ê²¼¤È¾®¤µ¤¤ÃͤËÍÞ¤¨¤ë¤³¤È¤¬¤Ç¤­¤ë¤³¤È¤ò³Îǧ¤Ç¤­¤¿¡¥



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ºÂĹ: ¹âÌÚ°ìµÁ(̾¸Å²°Âç)

Âê̾ AND-EXORÏÀÍý¼°ºÇ¾®²½¥¢¥ë¥´¥ê¥º¥à¤Î¹â®²½
Ãø¼Ô ¡ûÊ¿»³ µ®»Ê, º´Æ£ µü, À¾Ã« ÂÙ¾¼(´ä¼êÂç³Ø ¹©³ØÉô ¾ðÊó¥·¥¹¥Æ¥à¹©³Ø²Ê)
keywords AND-EXORÆóÃÊÏÀÍý²óÏ©, AND-EXORÏÀÍý¼°, ESOP, ÏÀÍýºÇ¾®²½¥¢¥ë¥´¥ê¥º¥à, ¥¢¥ë¥´¥ê¥º¥à¹â®²½
abstract ËÜÏÀʸ¤Ç¤Ï¡¤½¾Íè¤è¤ê¤â¹â®¤ÊAND-EXORÏÀÍý¼°¤ÎºÇ¾®²½¥¢¥ë¥´¥ê¥º¥à¤òÄó°Æ¤¹¤ë¡¥ËܼêË¡¤Î¹â®²½¤Î¥Ý¥¤¥ó¥È¤Ï¡¤ºÆµ¢¸Æ¤Ó½Ð¤·¤ò¹Ô¤¦¾ò·ï¤ò²þÎɤ¹¤ë¤³¤È¤Ë¤è¤ê¡¤ÌµÂ̤ʷ׻»¤ò¸º¤é¤·¤¿¤³¤È¤Ë¤¢¤ë¡¥ËÜ¥¢¥ë¥´¥ê¥º¥à¤Ë¤è¤ê¡¤4¤Ä¤Î¥Ù¥ó¥Á¥Þ¡¼¥¯²óÏ©¤ÎºÇ¾®²ò¤¬½é¤á¤ÆÌÀ¤é¤«¤Ë¤Ê¤Ã¤¿¡¥

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Ãø¼Ô ¡ûÀÐÀî°½»Ö(·²ÇÏÂç³ØÂç³Ø±¡¹©³Ø¸¦µæ²Ê¾ðÊ󹩳ØÀ칶Çî»Î¸å´ü²ÝÄø), ¸Þ½½Íòͧ§(·²ÇÏÂç³ØÂç³Ø±¡¹©³Ø¸¦µæ²Ê¾ðÊ󹩳ØÀ칶Çî»ÎÁ°´ü²ÝÄø), Ê¿»³µ®»Ê(´ä¼êÂç³Ø¹©³ØÉô¾ðÊó¥·¥¹¥Æ¥à¹©³Ø²Ê), À¶¿å¸­»ñ(·²ÇÏÂç³Ø¹©³ØÉô¾ðÊ󹩳زÊ)
keywords EXOR, ¥é¥ó¥À¥à¥Æ¥¹¥È, pseudocube, pseudoproduct
abstract subcube¤Î³µÇ°¤ò°ìÈ̲½¤·¤¿pseudocube¤Ë´ð¤Å¤¯ÏÀÍýɽ¸½Ë¡Sum-of-Pseudoproduct(SPP)·¿¤Ï¡¢½¾Íè¤ÎSum-of-Product(SOP)·¿¤è¤ê¤â¥³¥ó¥Ñ¥¯¥È¤Êɽ¸½¤¬²Äǽ¤Ç¤¢¤ë¤³¤È¤¬ÃΤé¤ì¤Æ¤¤¤ë¡£ËܹƤǤϡ¢Æ±É½¸½Ë¡¤¬¥é¥ó¥À¥à¥Ñ¥¿¥ó¥Æ¥¹¥È¤ËÂФ·¤Æ¡¢¥Æ¥¹¥ÈÍưפǤ¢¤ë¤³¤È¤ò¼¨¤¹¡£Æäˡ¢Æ±¤¸¤¯EXOR¤òÍѤ¤¤¿É½¸½Ë¡¤ÎESOP·¿¤È¤ÎÈæ³Ó¤Ë¤è¤ê¡¢¥Æ¥¹¥ÈÍÆ°×À­¤È¥³¥ó¥Ñ¥¯¥ÈÀ­¤¬¹â¤¤¤³¤È¤ò¼¨¤¹¡£¤Þ¤¿¡¢pseudocube¤Ë´ð¤Å¤¯¿·¤¿¤Êɽ¸½Ë¡EXOR-Sum-of-Pseudoproduct(ESPP)·¿¤òÄó°Æ¤¹¤ë¡£¤³¤ÎESPP·¿¤Ï¡¢ESOP·¿¤ÈSPP·¿¤ÎξÊý¤ÎÀ­¼Á¤ò»ý¤Á¡¢¤è¤ê¥³¥ó¥Ñ¥¯¥È¤Ç¥Æ¥¹¥ÈÍưפʲóÏ©¤ò¼Â¸½¤¹¤ë²ÄǽÀ­¤ò»ý¤Ä¡£ËܹƤǤϡ¢¤³¤ì¤òÀ¸À®¤¹¤ë´Êñ¤Ê¥¢¥ë¥´¥ê¥º¥à¤òÍ¿¤¨¡¢¼Â¸³¤«¤é¥Æ¥¹¥ÈÍưפǤ¢¤ë¤³¤È¤ò¼¨¤¹¡£



¥»¥Ã¥·¥ç¥ó C2-2 ¾åήÀß·× (23Æü 10:30¡Á12:00)
ºÂĹ: ÉðÆâÎÉŵ(ÂçºåÂç)

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keywords FPGA, ưŪºÆ¹½À®, ²¾ÁÛ²óÏ©, µ¡Ç½Ê¬»¶½èÍý, ¥ª¥Ö¥¸¥§¥¯¥È»Ø¸þ
abstract ËÜÏÀʸ¤Ç¤ÏHW/SWº®ºÜ¥·¥¹¥Æ¥à¤Î¼çÍץϡ¼¥É¥¦¥§¥¢ÉôÉʤÎHwModule¤òÄó°Æ¤¹¤ë¡£HW/SWº®ºÜ¥·¥¹¥Æ¥à¤Ï¥½¥Õ¥È¥¦¥§¥¢¤È¥Ï¡¼¥É¥¦¥§¥¢¤¬¶¨Ä´¤·¤ÆÆ°ºî¤¹¤ë¤³¤È¤òÌÜŪ¤È¤·¤¿µ¡Ç½Ê¬»¶·¿¤Î¥·¥¹¥Æ¥à¤Ç¤¢¤ë¡£¥Ï¡¼¥É¥¦¥§¥¢Éôʬ¤Î½èÍý¤Ï²¾ÁÛ²óÏ©¤È¥Ç¡¼¥¿¤ò¤Þ¤È¤á¤Æ¥ª¥Ö¥¸¥§¥¯¥È»Ø¸þ¤Ë¤è¤êHwObject¤È¤·¥½¥Õ¥È¥¦¥§¥¢¤Î¤è¤¦¤Ë¥Ï¡¼¥É¥¦¥§¥¢¤ò°·¤¦¤³¤È¤¬²Äǽ¤Ç¤¢¤ëŽ¡HwModule¤ÏFPGA¡¢¥á¥â¥ê¡¢¥Þ¥¤¥¯¥í¥×¥í¥»¥Ã¥µ¡¢PCI¥Ð¥¹¥¤¥ó¥¿¡¼¥Õ¥§¥¤¥¹¤Ç¹½À®¤µ¤ì¡¢HwObject¤Î¼ÂÂΤνèÍý¤¬¹Ô¤ï¤ì¤ë¡£

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keywords ¥Ï¡¼¥É¥¦¥§¥¢/¥½¥Õ¥È¥¦¥§¥¢¶¨Ä´¹çÀ®, ¥Ï¡¼¥É¥¦¥§¥¢/¥½¥Õ¥È¥¦¥§¥¢Ê¬³ä, ±é»»¸ìĹ, DSP¥×¥í¥»¥Ã¥µ, ¥¢¥»¥ó¥Ö¥ê¥³¡¼¥É
abstract ±é»»¸ìŤòn¥Ó¥Ã¥È¤«¤én/2¥Ó¥Ã¥È¤Ë½Ì¾®¤¹¤ë¤³¤È¤Ç¥×¥í¥»¥Ã¥µ¤ÎÌÌÀѺ︺¤ò¿Þ¤ë¡¥ °ìÈÌŪ¤Ë¡¤¤³¤Î¤È¤­n¥Ó¥Ã¥È¤Î·ë²Ì¤òÆÀ¤ë¤Ë¤Ï¾¯¤Ê¤¯¤È¤â2²ó¤Î±é»»Ì¿Îá ¤ò¼Â¹Ô¤·¤Ê¤±¤ì¤Ð¤Ê¤é¤Ê¤¤¡¥ ²æ¡¹¤ÎÄó°Æ¤·¤Æ¤¤¤ë¥Ï¡¼¥É¥¦¥§¥¢/¥½¥Õ¥È¥¦¥§¥¢¶¨Ä´¹çÀ®¥·¥¹¥Æ¥à¤Ç¤Ï¡¤¤³¤ì¤Þ¤Ç¡¤¥¢¥×¥ê¥±¡¼¥·¥ç¥ó¥×¥í¥°¥é¥à¤Î¥Ç¡¼¥¿Ä¹¤Ï¥×¥í¥»¥Ã¥µ¥³¥¢¤Î±é»»¸ìŤÈÅù¤·¤¤¤³¤È¤òÁ°Äó¤È¤·¤Æ¤¤¤¿¡¥ ËܹƤǤϡ¤¥×¥í¥»¥Ã¥µ¥«¡¼¥Í¥ë¤ËÀܳ¤µ¤ì¤Æ¤¤¤ë³Æ±é»»´ï¤Ë¤ª¤¤¤Æ ±é»»¸ìĹ½Ì¾®¤ò»î¤ß¡¤¤½¤ÎÃæ¤Ç»þ´ÖÀ©Ìó¤òËþ­¤·¡¤ºÇ¤âÂ礭¤¯ÌÌÀѤò ºï¸º¤¹¤ë±é»»´ï¤Î±é»»¸ìŤò½Ì¾®¤¹¤ë¼êË¡¤òÄó°Æ¤¹¤ë¡¥ ¤Þ¤¿¡¤·×»»µ¡¼Â¸³¤Ë¤è¤êËܼêË¡¤ÎÍ­¸úÀ­¤ò³Îǧ¤·¤¿¡¥

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keywords Áȹþ¤ß¥·¥¹¥Æ¥à, ¾ÃÈñÅÅÎÏ, ¥¢¡¼¥­¥Æ¥¯¥Á¥ã¥ì¥Ù¥ë, Ì¿Îá¥ì¥Ù¥ë¥·¥ß¥å¥ì¡¼¥¿, ¶¨Ä´Àß·×
abstract ËÜʸ¤Ç¤Ï¡¤Áȹþ¤ß¥·¥¹¥Æ¥à¤Î¥Ï¡¼¥É¥¦¥§¥¢/¥½¥Õ¥È¥¦¥§¥¢¶¨Ä´À߷פˤª¤±¤ë¥¢¡¼¥­¥Æ¥¯¥Á¥ã¥ì¥Ù¥ë¤Ç¤Î¾ÃÈñÅÅÎϸ«ÀѤê¼êË¡¤òÄó°Æ¤¹¤ë¡¥Áȹþ¤ß¥·¥¹¥Æ¥à¤ÎÀ߷פǤϡ¤¥¢¡¼¥­¥Æ¥¯¥Á¥ãÀß·×»þÅÀ¤Ë¤ª¤¤¤Æ¡¤¼Â¹Ô»þ´Ö¡¤¥Ï¡¼¥É¥¦¥§¥¢¡¦¥³¥¹¥È¡¤¤ª¤è¤Ó¾ÃÈñÅÅÎϤò¸«ÀѤꡤ¤³¤ì¤Ë´ð¤Å¤¤¤ÆºÇŬ ¤Ê¥Ï¡¼¥É¥¦¥§¥¢¤È¥½¥Õ¥È¥¦¥§¥¢¤Î¹½À®¤ò·èÄꤹ¤ë¤³¤È¤¬Ë¾¤Þ¤ì¤ë¡¥ËܼêË¡¤Ç¤Ï¡¤¥¢¡¼¥­¥Æ¥¯¥Á¥ã¥ì¥Ù¥ë¤Ç¡¤¥Ç¡¼¥¿¤ÎžÁ÷¤ò¹Íθ¤·¤Æ¥·¥¹¥Æ¥à¤Î³Æ¹½À®Í×ÁǤÎÀµ³Î¤Ê¥¨¥Í¥ë¥®¡¼¥â¥Ç¥ë¤òÄêµÁ¤·¡¤¤³¤Î¥¨¥Í¥ë¥®¡¼¥â¥Ç¥ë¤ò´û¸¤ÎÌ¿Î᥻¥Ã¥È¥·¥ß¥å¥ì¡¼¥¿¤ËÁȹþ¤à¤³¤È¤Ë¤è¤ê¡¤¼Â¹Ô»þ´Ö¡¤ ¥Ï¡¼¥É¥¦¥§¥¢¡¦¥³¥¹¥È¡¤¤ª¤è¤Ó¾ÃÈñÅÅÎϤòÀµ³Î¤Ë¸«ÀѤꡤʣ¿ô¤Î¸õÊ䥢¡¼¥­¥Æ¥¯¥Á¥ã¤ÎÃ椫¤éºÇŬ¤Ê¥¢¡¼¥­¥Æ¥¯¥Á¥ã¤ò·èÄꤹ¤ë¤³¤È¤ò²Äǽ¤È¤·¤¿¡¥

Âê̾ Minimization of Iteration Period in Assignment-Constrained Schedule for Data-Path Synthesis
Ãø¼Ô ¡ûÂ綶¡¡¸ù¼£, ¶â»Ò¡¡Êöͺ(ËÌΦÀèü²Ê³Øµ»½ÑÂç³Ø±¡Âç³Ø¡¡¾ðÊó²Ê³Ø¸¦µæ²Ê)
keywords ¥Ñ¥¤¥×¥é¥¤¥ó¥¹¥±¥¸¥å¡¼¥ë, »ñ¸»³ä¤êÅö¤Æ, ¹â°Ì¹çÀ®, ºÇĹ¥Ñ¥¹, ·«¤êÊÖ¤·¼þ´ü
abstract This paper treats loop pipeline scheduling problem under given resource assignment. First we transform our scheduling problem into the problem to assign integers to disjunctive arcs introduced to resolve lifetime collisions, and evaluate a possible range of each variable to be fixed. After that, we propose a heuristic method to find the minimum iteration period based on the reduction of these ranges using sensitivity to iteration period. Experimental results for both the fifth-order elliptic wave filter benchmark and its modified version in which the number of operations and data is doubled show the proposed method runs about 700-3000 times faster than the exact solution method, while it can find the optimal iteration periods in most cases.



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abstract ¥°¥é¥Õ¤Î»ØÄêÅÀ2ÅÀÏ¢·ë²½ÌäÂê(2VCA-SV)¤È¤Ï¼¡¤Î¤è¤¦¤ËÄêµÁ¤µ¤ì¤ë¡§ ̵¸þ¥°¥é¥ÕG=(V,E)¡¢G¤ÎÉôʬ¥°¥é¥ÕG_0=(V,E')¡¢ »ØÄêÅÀ½¸¹çS¢¼V¡¢¥³¥¹¥È´Ø¿ôc:E¢ªR^+(ÈóÉé¼Â¿ô) ¤¬Í¿¤¨¤é¤ì¤¿¤È¤­¡¢G_0+E''=(V,E'¢ÀE'')(E''¢¼E-E')¤¬ S¤ÎǤ°Õ¤Î2ÅÀ´Ö¤ËÆâÁǤʥѥ¹¤ò2Ëܰʾå»ý¤Ä¤è¤¦¤Ê¤â¤Î¤Î¤¦¤Á¡¢ ¥³¥¹¥ÈÁíϤ¬ºÇ¾®¤È¤Ê¤ëE''¤òµá¤á¤è¡£ ËܹƤǤϡ¢G_0¤¬S¤ò´Þ¤àÏ¢·ëÀ®Ê¬¤ò»ý¤Ä¾ì¹ç¤Î2VCA-SV¤ËÂФ¹¤ë O(|V||E|+|V|^2 log|V|)»þ´Ö¤Î2-¶á»÷¥¢¥ë¥´¥ê¥º¥à2-ABIS¤òÄó°Æ¤¹¤ë¡£

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abstract ¥¢¥É¥Û¥Ã¥¯¥Í¥Ã¥È¥ï¡¼¥¯¤Î¤è¤¦¤ËüËö¼«¿È¤¬ÄÌ¿®¤ÎÃæ·Ñ¤ò¹Ô¤¦°ÜÆ°ÂÎÄÌ¿® üËö¤Ï¡¤½¼ÅŤò¹Ô¤ï¤Ê¤¤¸Â¤ê¡¤¸Â¤é¤ì¤¿¿ô¤Î¥á¥Ã¥»¡¼¥¸¤·¤«Ãæ·Ñ¤Ç¤­¤Ê¤¤¡¥ ¤·¤«¤·¡¤¹âÉÑÅ٤ν¼ÅŤϡ¤Ã¼Ëö¤¬»ý¤Ä°ÜÆ°ÂΤȤ·¤Æ¤ÎÍøÊØÀ­¤ò»¤Ê¤¦¤³¤È ¤Ë¤Ê¤ë¡¥¤½¤³¤Ç¡¤Ëܸ¦µæ¤Ç¤Ï¡¤¤³¤Î¤è¤¦¤Ê¥Í¥Ã¥È¥ï¡¼¥¯¾å¤Ë¥á¥Ã¥»¡¼¥¸¤Î Á÷¿®Í׵᤬Ϳ¤¨¤é¤ì¤¿¾ì¹ç¡¤Ã¼Ëö¤Î½¼ÅŲó¿ô¤¬ºÇ¾®¤Ë¤Ê¤ë¥á¥Ã¥»¡¼¥¸¤Î Á÷¿®½ç¤òµá¤á¤ë¥¢¥ë¥´¥ê¥º¥à¤ÎÀ߷פò¹Ô¤Ã¤¿¡¥¤½¤Î·ë²Ì¡¤Ã¼Ëö´Ö¤ÎÀܳ ¾õ¶·¤¬»þ´ÖŪ¤ËÊѲ½¤»¤º¡¤¥Í¥Ã¥È¥ï¡¼¥¯¤Î·Á¾õ¤¬Àþ¾õ¤â¤·¤¯¤ÏÌڤ˸ÂÄê ¤µ¤ì¤ë¤È¤­¡¤Â¿¹à¼°»þ´Ö¤Ç²ò¤¯¤³¤È¤¬¤Ç¤­¤ë¥¢¥ë¥´¥ê¥º¥à¤òÀ߷פǤ­¤¿¡¥ ¤Ê¤ª¡¤¥Í¥Ã¥È¥ï¡¼¥¯¤¬°ìÈ̤Υ°¥é¥Õ¤È¤Ê¤ë¾ì¹ç¡¤ËÜÌäÂê¤ÏNPº¤Æñ¤È¤Ê¤ë¡¥

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keywords ¥°¥é¥Õ, ¥¢¥ë¥´¥ê¥º¥à, ¥°¥é¥Õ¤ÎÉÁ²è, Îóµó
abstract ¥°¥é¥Õ¤ò¡¢³ÆÌ̤¬¶ë·Á(ĹÊý·Á)¤Ç¤¢¤ë¤è¤¦¤Ë¡¢¤«¤Ä¡¢ÊÕ¤¬¸òº¹¤¹¤ë¤³¤È¤Ê¤¯ Ê¿Ì̤ËÉÁ²è¤·¤¿¤â¤Î¤ò¡¢¥°¥é¥Õ¤Î¶ë·ÁÉÁ²è¤È¸Æ¤Ö¡£¤³¤³¤Ç¡¢³°Ì̤ÎÎسԤâ¶ë ·Á¤È¤·¤ÆÉÁ²è¤¹¤ë¤â¤Î¤È¤¹¤ë¡£ºÇÂ缡¿ô¤¬¹â¡¹3¤Ç¤¢¤ë¤¹¤Ù¤Æ¤Î¥°¥é¥Õ¤Î¡¢ ¤¹¤Ù¤Æ¤Î¶ë·ÁÉÁ²è¤ò¡¢½ÅÊ£¤âÈ´¤±¤â¤Ê¤¯Îóµó¤¹¤ë¹â®¤Ê¥¢¥ë¥´¥ê¥º¥à¤¬¡¢ºÇ ¶á¡¢²æ¡¹¤Ë¤è¤Ã¤ÆÍ¿¤¨¤é¤ì¤¿¡£ËÜʸ¤Ç¤Ï¤³¤Î¥¢¥ë¥´¥ê¥º¥à¤ò¡¢¼¡¿ôÀ©¸Â¤Î¤Ê ¤¤°ìÈ̤Τ¹¤Ù¤Æ¤Î¥°¥é¥Õ¤Î¡¢¤¹¤Ù¤Æ¤Î¶ë·ÁÉÁ²è¤òÎóµó¤¹¤ë¤â¤Î¤Ë°ìÈ̲½¤¹¤ë¡£ ¶ë·ÁÉÁ²è¤Ç¡¢³°Ì̤ÎÎسԤζë·Á¤Î4¤Ä¤ÎľÀþʬ¤Î¤¦¤Á¡¢¤Á¤ç¤¦¤É1¤Ä¤ÎľÀþʬ ¤òÄìÊդȤ·¤Æ»ØÄꤷ¤¿¤â¤Î¤òÄìÊդĤ­¶ë·ÁÉÁ²è¤È¸Æ¤Ö¡£ËÜʸ¤Î¥¢¥ë¥´¥ê¥º¥à ¤Ï¡¢ÆâÌ̤θĿô¤¬¹â¡¹$n$¸Ä¤Ç¤¢¤ëÄìÊդĤ­¶ë·ÁÉÁ²è¤Î¤¹¤Ù¤Æ¤ò¡¢½ÅÊ£¤âÈ´ ¤±¤â¤Ê¤¯¡¢ÉÁ²è1¤Ä¤¢¤¿¤ê$O(1)$»þ´Ö¤ÇÀ¸À®¤¹¤ë¡£»ÈÍѤ¹¤ëºî¶ÈÍѵ­²±ÎÎ°è ¤Ï¥¢¥ë¥´¥ê¥º¥àÁ´ÂΤÇ$O(n)$¤Ç¤¢¤ë¡£²æ¡¹¤Î¥¢¥ë¥´¥ê¥º¥à¤Ï³ÆÉÁ²è¤ò¡¢Ä¾Á° ¤Ë½ÐÎϤ·¤¿ÉÁ²è¤«¤é¤Îº¹Ê¬¤È¤·¤Æ½ÐÎϤ¹¤ë¡£ ¤³¤Î¥¢¥ë¥´¥ê¥º¥à¤òÉôʬŪ¤ËÊѹ¹¤¹¤ë¤³¤È¤Ë¤è¤ê¡¢ÆâÌ̤θĿô¤¬¤Á¤ç¤¦¤É $n$¸Ä¤Ç¤¢¤ëÄìÊդĤ­¶ë·ÁÉÁ²è¤Î¤¹¤Ù¤Æ¤ò¡¢½ÅÊ£¤âÈ´¤±¤â¤Ê¤¯¡¢ÉÁ²è1¤Ä¤¢¤¿¤ê $O(1)$»þ´Ö¤ÇÀ¸À®¤¹¤ë¥¢¥ë¥´¥ê¥º¥à¤¬ÆÀ¤é¤ì¤ë¡£¤Þ¤¿¡¢ÆâÌ̤θĿô¤¬¤Á¤ç¤¦ ¤É$n$¸Ä¤Ç¤¢¤ë¶ë·ÁÉÁ²è(ÄìÊդϻØÄꤷ¤Ê¤¤)¤Î¤¹¤Ù¤Æ¤ò¡¢½ÅÊ£¤âÈ´¤±¤â¤Ê¤¯¡¢ ÉÁ²è1¤Ä¤¢¤¿¤ê$O(n)$»þ´Ö¤ÇÀ¸À®¤¹¤ë¥¢¥ë¥´¥ê¥º¥à¤âÍ¿¤¨¤ë¡£¤³¤ì¤é¤Î¥¢¥ë ¥´¥ê¥º¥à¤¬»ÈÍѤ¹¤ëºî¶ÈÍѵ­²±Îΰè¤Ï¥¢¥ë¥´¥ê¥º¥àÁ´ÂΤÇ$O(n)$¤Ç¤¢¤ë¡£

Âê̾ Efficient Generation of Plane Triangulation with a Degree Constraint
Ãø¼Ô ¡ûÅÄÃæ¡¡Çî¹Ô, Íû¡¡¾Ï·õ, ÃæÌî¡¡âðì(·²ÇÏÂç³Ø¹©³ØÉô¾ðÊ󹩳زÊÃæÌµæ¼¼)
keywords ¥°¥é¥Õ, ¥¢¥ë¥´¥ê¥º¥à, Ê¿ÌÌ¥°¥é¥Õ, Îóµó
abstract A \lq\lq based'' plane triangulation is a plane triangulation with one designated edge on the outer face. In this paper we give a simple algorithm to generate all biconnected based plane triangulations with at most $n$ vertices and with maximum degree at most $D$. The algorithm uses $O(n)$ space and generates such triangulations in $O(1)$ time per triangulation without duplications. The algorithm does not output entire triangulations but the difference from the previous triangulation. By modifying the algorithm we can generate all biconnected (non-based) plane triangulations with at most $n$ vertices and maximum degree at most $D$ in $O(n^3)$ time per triangulation without duplications.



¥»¥Ã¥·¥ç¥ó D2-2 [ÆÃÊÌ¥»¥Ã¥·¥ç¥ó] Î¥»¶¥·¥¹¥Æ¥àÍýÏÀ¤ÎÃÏÍý¾ðÊó¥·¥¹¥Æ¥à¤Ø¤Î±þÍÑ (23Æü 11:10¡Á12:00)
ºÂĹ: Âçß·¿·¸ã(·²ÇÏÂç)

Âê̾ ÃϿޤˤª¤±¤ëÅÀ¤ÈÊÕ¤ËÂФ¹¤ë¥é¥Ù¥ë¤Î¼«Æ°ÇÛÃÖ
Ãø¼Ô µµÅĵ®Ç·(ÆüΩÀ½ºî½ê¾ðÊóÀ©¸æ¥·¥¹¥Æ¥à»ö¶ÈÉô), ¡ûº£°æ·Ë»Ò(Ãæ±ûÂç³ØÍý¹©³ØÉô¾ðÊ󹩳زÊ)
keywords ¥é¥Ù¥ëÇÛÃÖÌäÂê, ÅÀ¥é¥Ù¥ë, ÊÕ¥é¥Ù¥ë, Ï©Àþ¿Þ, ÃÏÍý¾ðÊó½èÍý
abstract Ê¿Ì̤ËÉÁ²è¤µ¤ì¤¿¥°¥é¥Õ¤äÃϿޤˤª¤¤¤Æ¡¤ÅÀ¡¤ÊÕ¡¤Îΰè¤ËÂФ·¤Æ¡¤ ¥Æ¥­¥¹¥È¥é¥Ù¥ë¤òÇÛÃÖ¤¹¤ëÌäÂê¤ò¥é¥Ù¥ëÇÛÃÖÌäÂê¤È¤¤¤¦¡¥ ËܹƤǤϡ¤ÅÀ¤ËÂФ·¤ÆϢ³¤·¤¿¥é¥Ù¥ë¸õÊä°ÌÃÖ¤òÍѤ¤¤Æ¡¤²Äǽ¤Ê¸Â¤ê ¥é¥Ù¥ëƱ»Î¤¬Î¥¤ì¤ë¤è¤¦¤ËÇÛÃÖ¤¹¤ë¼êË¡¤òÄó°Æ¤¹¤ë¡¥ ¤Þ¤¿¡¤¿ôÃÍÃϿޤǤÏÏ©Àþ¤äÀÊä´ÖÅÀ¤Î½¸¹ç¤Çɽ¤µ¤ì¤Æ¤¤¤ë¤³¤È¤«¤é¡¤ ¤½¤ì¤é¤ò·ë¤Öû¤¤ÊÕ¤«¤é¤Ê¤ë¥Á¥§¥¤¥ó¤ò¹Í¤¨¡¤Ê£¿ô¤Î¥Á¥§¥¤¥ó¤¬Â¸ºß ¤·¤Æ¤¤¤ë¾ì¹ç¤Ë¥Á¥§¥¤¥ó¤Ë±è¤Ã¤Æ¥é¥Ù¥ë¤òÇÛÃÖ¤¹¤ëÌäÂê¤ò¹Í¤¨¤ë¡¥ ¤µ¤é¤Ë¤½¤ì¤é¤òÁȤ߹ç¤ï¤»¡¤ÅÀ¤È¥Á¥§¥¤¥ó¤ËƱ»þ¤Ë¥é¥Ù¥ë¤òÇÛÃÖ¤¹¤ë ¼êË¡¤ò¹½ÃÛ¤·¡¤¼ÂºÝ¤ÎÃϿޥǡ¼¥¿¤òÍѤ¤¤Æ¡¤ÅìµþÅÔ¤ÎÃϲ¼Å´¤ÎÏ©Àþ¿Þ¤Ë ±Ø̾¤ÈÏ©Àþ̾¤Î¥é¥Ù¥ë¤ò¤Ä¤±¤ë¼Â¸³¤ò¹Ô¤Ê¤¤¡¤Í­¸úÀ­¤ò¼¨¤·¤¿¡¥

Âê̾ Optimal Spatial Data Transmission for Mobile Terminals based on Object Oriented Geographical Information Systems
Ãø¼Ô ¡ûµÜ¾ë¾°Ê¿, ÂçÄÍÆØ, ̾²Å¼À¹ÏÂ, ¶Ì¾ë»Ëϯ(ΰµåÂç³Ø¹©³ØÉô¾ðÊ󹩳زÊ), ²§Ä¹·ò¼£(¥Ç¥£¥¸¥¿¥ë¼Ò²ñÁí¹ç¸¦µæ½ê)
keywords GIS, Î¥»¶ºÇŬ²½, ¥ª¥Ö¥¸¥§¥¯¥È»Ø¸þ, ¶õ´Ö¥Ç¡¼¥¿, ¶õ´Ö¥Ç¡¼¥¿Å¾Á÷
abstract This paper proposes an optimal spatial data transmission in a network-base object-oriented GIS. Since spatial data are represented as collection of feature objects in object-oriented GISs, flexible selection can be allowed for the spatial data transmission. Our propose is to reduce the size of spatial data with quality keeping, therefore, we try to select spatial data by taking account of usefulness of data and the band-width and display size of user's terminal. In this paper, we formalize the selection problem as an integer programming, and then develop an exact algorithm based on branch and bound (B&B) approach and a heuristic algorithm.



2002ǯ4·î23Æü(²Ð)¸á¸å

¥»¥Ã¥·¥ç¥ó A2-3 SoC/SiP»þÂå¤ÎÇÛÀþ¥¢¡¼¥­¥Æ¥¯¥Á¥ã (23Æü 13:30¡Á14:45)
ºÂĹ: ÁýÅĹ°À¸(ȾƳÂÎÍý¹©³Ø¸¦µæ¥»¥ó¥¿¡¼)

Âê̾ SoC/SiP»þÂå¤ÎÇÛÀþ¥¢¡¼¥­¥Æ¥¯¥Á¥ã
Ãø¼Ô ¡û±×°ìºÈ(Åìµþ¹©Âç)
keywords SoC/SiP, LSIÇÛÀþ
abstract ËܹƤǤϡ¢¾­Íè¤ÎSoC/SiP¥¢¡¼¥­¥Æ¥¯¥Á¥ã¤Îɾ²Á¤È¿·µ¬ÇÛÀþ¹½Â¤Æ³Æþ¤È¤¤¤¦´ÑÅÀ¤«¤é¡¢ LSIÇÛÀþ¤ÎÀ߷פˤª¤¤¤ÆÇÛÀþĹʬÉÛ¤òÅý·×Ū¤Ë¼è¤ê°·¤¤À­Ç½Í½Â¬¤ä²óÏ©À߷פò¤Ç¤­¤ë ²ÄǽÀ­¤¬¤¢¤ë¤³¤È¡¢¤Ê¤é¤Ó¤Ë¥Á¥Ã¥×ÆâÉô¤Ë¤ª¤¤¤Æ¤â½¾Íè¤ÎRC²óÏ©À߷פ«¤éæµÑ¤¹¤ë ɬÍפ¬À¸¤¸¤Æ¤¤¤ë¤³¤È¤ò¾Ò²ð¤¹¤ë¡£



¥»¥Ã¥·¥ç¥ó A2-4 VLSI¥â¥Ç¥ê¥ó¥°µ»½Ñ (23Æü 15:15¡Á16:30)
ºÂĹ: Àõ°æ½¨¼ù(ÀŲ¬Âç)

Âê̾ ¼Ð¤áÇÛÀþ¤ò´Þ¤àVLSI¤Î¹â®¥ª¥ó¥Á¥Ã¥×¡¦¥¤¥ó¥À¥¯¥¿¥ó¥¹Ãê½Ð
Ãø¼Ô ¡û¹õÀî¡¡ÆØ(»°ÍÎÅŵ¡³ô¼°²ñ¼Ò), ˪²°¡¡¹§ÂÀϺ(ÆüËÜÅŵ¤³ô¼°²ñ¼Ò), º´Æ£¡¡¹â»Ë(³ô¼°²ñ¼ÒÆüΩÀ½ºî½ê), ÆÁ¾£¡¡°ìÌé, ÁýÅÄ¡¡¹°À¸(³ô¼°²ñ¼ÒȾƳÂÎÍý¹©³Ø¥»¥ó¥¿¡¼)
keywords ¥¤¥ó¥À¥¯¥¿¥ó¥¹, ´óÀ¸Ãê½Ð, VLSIÇÛÀþ, ´ö²¿³ØŪʿ¶Ñµ÷Î¥, ɽÈé¸ú²Ì
abstract ¡¡´ö²¿³ØŪʿ¶Ñµ÷Î¥¤«¤éµá¤á¤¿¼«¸Ê¥¤¥ó¥À¥¯¥¿¥ó¥¹¤Î¶á»÷¼°¤ÈÃÇÌ̤ò̵»ë¤·¤¿2ËܤÎÀþ¾õ´Ö¤ÇÀµ³Î¤ÊÁê¸ß¥¤¥ó¥À¥¯¥¿¥ó¥¹¤Î¼°¤ò»È¤Ã¤Æ¡¢¼Ð¤áÇÛÀþ¤ò´Þ¤àVLSI¤Î¥ª¥ó¥Á¥Ã¥×¡¦¥¤¥ó¥À¥¯¥¿¥ó¥¹¤òÃê½Ð¤¹¤ëÊýË¡¤òÄ󼨤¹¤ë¡£ ¡¡¸½¼ÂŪ¤ÊÇÛÀþ¤ÎŬÍÑÎã¤Ç¤Ï¡¢3D¥½¥ë¥Ð¡¼¤ËÂФ·¤ÆÀäÂÐÃÍÊ¿¶Ñ¸íº¹¤ÇÌó1¡ó¡¢½èÍý®ÅÙ¤Ï60Çܰʾå¹â®¤Ç¤¢¤Ã¤¿¡£ËܼêË¡¤Ï¡¢VLSI¤ÎÇÛÀþ¥¤¥ó¥À¥¯¥¿¥ó¥¹Ãê½Ð¤ËÍ­¸ú¤Ç¤¢¤ë¡£

Âê̾ ¥¤¥ó¥À¥¯¥¿¥ó¥¹¤¬ÇÛÀþÃÙ±ä¤ËµÚ¤Ü¤¹±Æ¶Á¤ÎÄêÎÌŪɾ²ÁÊýË¡
Ãø¼Ô ¡ûº´Æ£¡¡¹â»Ë(ÆüΩÀ½ºî½ê), ¶âËÜ¡¡½Ó´ö(»°É©Åŵ¡), ¹õÀî¡¡ÆØ(»°ÍÎÅŵ¡), Àî¾å¡¡Á±Ç·(¾¾²¼ÅÅ´ï), ²¬¡¡¹¨µ¬(NTT¥¢¥É¥Ð¥ó¥¹¥Æ¥¯¥Î¥í¥¸), Ë̱º¡¡ÃÒÌ÷(ÉÙ»ÎÄ̸¦µæ½ê), ÃÓÆâ¡¡ÆØɧ(Åì¼Ç), ¾®ÎÓ¡¡¹¨¹Ô(ÆüËÜ¥·¥Î¥×¥·¥¹), ¶¶ËÜ¡¡¾»µ¹(µþÅÔÂç³Ø)
keywords ¥¤¥ó¥À¥¯¥¿¥ó¥¹, ÃÙ±ä·×»», ¥¿¥¤¥ß¥ó¥°²òÀÏ, ¥¹¥¯¥ê¡¼¥Ë¥ó¥°
abstract RC ¥â¥Ç¥ë¤È RLC ¥â¥Ç¥ë¤Ç·×»»¤µ¤ì¤ëÃÙ±ä»þ´Ö¤Îº¹¤òÄêÎÌŪ¤Ëµá¤á¤ëÊýË¡¤ò ¿·µ¬¤ËÄó°Æ¤¹¤ë¡£ËܼêË¡¤Ë¤è¤ê¡¤¤µ¤Þ¤¶¤Þ¤Ê¥×¥í¥»¥¹À¤Âå¤äÀ߷״Ķ­¤Ë ¤ª¤±¤ë¥¤¥ó¥À¥¯¥¿¥ó¥¹¤Î±Æ¶Á¹Íθ¤ÎɬÍ×À­¤¬ÇÄ°®¤Ç¤­¡¤(1) À߷׳«»ÏÁ°¤Ë ¥¹¥¯¥ê¡¼¥Ë¥ó¥°¾ò·ï¤ò¶ãÌ£¤·¤Æ¥¤¥ó¥À¥¯¥¿¥ó¥¹¤ò°Õ¼±ÉÔÍפÊÀ߷ץ롼¥ë¤òºîÀ® ¤¹¤ë¤³¤È¡¤(2) ¥¤¥ó¥À¥¯¥¿¥ó¥¹¤ò¹Íθ¤·¤ÆÃÙ±ä·×»»¤¹¤Ù¤­ÇÛÀþ¤Î²áÉÔ­¤Ê¤¤»Ø Ŧ¤ä RC ¥â¥Ç¥ë¤Ë¤è¤ëÃÙ±ä·×»»¤Î¸íº¹¸«ÀѤꡤÅù¤¬²Äǽ¤È¤Ê¤ë¡£¶ñÂÎŪ¤ÊŬÍÑ Îã¤È¤·¤Æ¡¤È¾Æ³Âε»½Ñ¥í¡¼¥É¥Þ¥Ã¥×¤ò»²¹Í¤Ë 0.1 um ¥Î¡¼¥É¤ÎÇÛÀþ¹½Â¤¤ò²¾Äê ¤·¡¤¼êË¡¤ÎÍ­¸úÀ­¤ò³Îǧ¤·¤¿¡£ÇÛÀþĹ 2 mm°Ê²¼¤ÎÇÛÀþ¤ËÂФ¹¤ëÃÙ±ä»þ´Öº¹¤Ï ºÇÂçÌó 7 ps¡¤RC ¥â¥Ç¥ë¤Ë¤è¤ëÇÛÀþÃÙ±ä·×»»¸íº¹¤ÎºÇÂçÃͤÏÌó 51 %¤Ç¤¢¤Ã¤¿¡£

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Ãø¼Ô ¡û²¬ÅÄ ·ò°ì, »³²¬ ·ò¿Í(µþÅÔÂç³Ø¾ðÊó³Ø¸¦µæ²ÊÄÌ¿®¾ðÊó¥·¥¹¥Æ¥àÀ칶), Æ£ÅÄ ÃÒ¹°(Ω̿´ÛÂç³ØÍý¹©³ØÉôÅŵ¤ÅŻҹ©³Ø²Ê), ¾®Ìî»û ½¨½Ó(µþÅÔÂç³Ø¾ðÊó³Ø¸¦µæ²ÊÄÌ¿®¾ðÊó¥·¥¹¥Æ¥àÀ칶)
keywords À½Â¤¤Ð¤é¤Ä¤­, ÃÙ±ä²òÀÏ, Åý·×ÃÙ±ä²òÀÏ, ¥Á¥Ã¥×Æâ¤Ð¤é¤Ä¤­, ±þÅú¶ÊÌÌ
abstract À½Â¤¤Ð¤é¤Ä¤­¤Î¹Íθ¤Ë¤ª¤¤¤Æ¡¤¥Á¥Ã¥×´Ö¤Î¤Ð¤é¤Ä¤­¤Î¤ß¤Ê¤é¤º¡¤ ¥Á¥Ã¥×Æâ¤Î¤Ð¤é¤Ä¤­¤ò¹Íθ¤¹¤ë¤³¤È¤¬½ÅÍפǤ¢¤ë¡¥ ËܹƤǤϡ¤¥Á¥Ã¥×Æâ¤Ð¤é¤Ä¤­¤ò¹Íθ¤·¤¿Åý·×ÃÙ±ä²òÀϼêË¡¤òÄó°Æ¤¹¤ë¡¥ ¸½¼ÂŪ¤Ê²óÏ©ÃÙ±äÊÑÆ°Î̤òÃΤ뤿¤á¤Ë¤Ï¡¤ ¥²¡¼¥ÈÃÙ±ä¤Ð¤é¤Ä¤­¤òÀºÅ٤褯µá¤á¤ë¤³¤È¤¬½ÅÍפǤ¢¤ë¡¥ Äó°Æ¼êË¡¤Ç¤Ï¡¤¼Â¬¤·¤¿¥È¥é¥ó¥¸¥¹¥¿ÆÃÀ­¤Î¤Ð¤é¤Ä¤­¤Ë´ð¤Å¤­¡¤ ¥²¡¼¥ÈÃÙ±ä¤Ð¤é¤Ä¤­¤òµá¤á¤ë¡¥ ¥È¥é¥ó¥¸¥¹¥¿ÆÃÀ­¤Ë¤Ä¤¤¤Æ ¥Á¥Ã¥×Æâ¤Ð¤é¤Ä¤­¥â¥Ç¥ë¤È¥Á¥Ã¥×´Ö¤Ð¤é¤Ä¤­¥â¥Ç¥ë¤òÄó°Æ¤·¡¤ ¤½¤ì¤¾¤ì¤Î¥â¥Ç¥ë¥Ñ¥é¥á¡¼¥¿Ãê½ÐË¡¤Ë¤Ä¤¤¤Æ½Ò¤Ù¤ë¡¥ ¥È¥é¥ó¥¸¥¹¥¿ÆÃÀ­¤«¤é¥²¡¼¥ÈÃÙ±ä¤òµá¤á¤ë¤¿¤á¤Ë¡¤ ±þÅú¶ÊÌÌ¥â¥Ç¥ë(RSM)¤Ë¤è¤ë¼êË¡¤òÍѤ¤¤ë¡¥ Åý·×²òÀϤˤϡ¤ ÀÅŪÃÙ±ä²òÀÏ(STA)¤Ë¤è¤ë¥â¥ó¥Æ¥«¥ë¥í¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤ò¹Ô¤Ê¤¦¡¥ ¼Â¸³·ë²Ì¤è¤ê¡¤¥Á¥Ã¥×Æâ¤Ð¤é¤Ä¤­¤Î¥â¥Ç¥ë²½ÀºÅ٤νÅÍ×À­¤ò¼¨¤¹¡¥ ¥Á¥Ã¥×Æâ¤Ð¤é¤Ä¤­¤Ë¤ª¤¤¤Æ¥²¡¼¥È¥µ¥¤¥º°Í¸À­¤ò¹Íθ¤·¤Ê¤«¤Ã¤¿¾ì¹ç¡¤ ÃÙ±äÊÑÆ°Î̤θ«ÀѤê¤Ç¸íº¹¤¬Â礭¤¯¤Ê¤ë¤³¤È¤ò¼¨¤¹¡¥



¥»¥Ã¥·¥ç¥ó AD2-3 [ADʬ²Ê²ñ¹çƱÆÃÊÌ¥»¥Ã¥·¥ç¥ó] °äÅÁ»Ò¥Í¥Ã¥È¥ï¡¼¥¯¤Î¥â¥Ç¥ë²½ (23Æü 13:30¡Á14:40)
ºÂĹ: »ÔÀ¥²ÆÍÎ(ÅìµþÂç)

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Ãø¼Ô ¡û°¤µ×ÄÅãÌé(µþÅÔÂç)
keywords °äÅÁ»Ò¥Í¥Ã¥È¥ï¡¼¥¯, ¥Ö¡¼¥ê¥¢¥ó¥Í¥Ã¥È¥ï¡¼¥¯, ¥Þ¥¤¥¯¥í¥¢¥ì¥¤, ¥Ð¥¤¥ª¥¤¥ó¥Õ¥©¥Þ¥Æ¥£¥¯¥¹
abstract ËܹƤǤϰäÅÁ»Òȯ¸½¥Ç¡¼¥¿¤«¤é¤Î°äÅÁ»Ò¥Í¥Ã¥È¥ï¡¼¥¯¿äÄꤪ¤è¤Ó ¼ðáçºÙ˦ʬÎà¤Ë´Ø¤·¤Æ¡¢É®¼Ô¤é¤¬¥Ö¡¼¥ê¥¢¥ó¥â¥Ç¥ë¤òÍѤ¤¤Æ¸¦µæ ¤·¤Æ¤­¤¿·ë²Ì¤Ë¤Ä¤¤¤Æ¡¢¿ôÍýŪ¦Ì̤òÃæ¿´¤Ë½Ò¤Ù¤ë¡£¤Þ¤º¡¢¥Ö¡¼ ¥ê¥¢¥ó¥Í¥Ã¥È¥ï¡¼¥¯¤ò°ì°Õ¤Ë¿äÄꤹ¤ë¤Î¤ËɬÍפʥǡ¼¥¿¿ô¡Ê¥µ¥ó ¥×¥ë¿ô¡Ë¤Ë¤Ä¤¤¤Æ½Ò¤Ù¤ë¡£¼¡¤ËÍ¿¤¨¤é¤ì¤¿¥Ç¡¼¥¿¤Ë̵̷½â¤Ê¥Í¥Ã ¥È¥ï¡¼¥¯¤ò·×»»¤¹¤ë¤¿¤á¤Î¥¢¥ë¥´¥ê¥º¥à¤ò¼¨¤¹¡£¤µ¤é¤Ë¡¢¸íº¹¤Î ¤¢¤ë¥Ç¡¼¥¿¤ò°·¤¦¤¿¤á¤Î¥Î¥¤¥ºÉÕ¤­¥Ö¡¼¥ê¥¢¥ó¥Í¥Ã¥È¥ï¡¼¥¯¤òÄó °Æ¤·¡¢¤½¤Î¿äÄꥢ¥ë¥´¥ê¥º¥à¤ª¤è¤Ó¿äÄê¤ËɬÍפʥǡ¼¥¿Î̤ò¼¨¤¹¡£ ¤Þ¤¿¡¢°äÅÁ»Òȯ¸½¥Ç¡¼¥¿¤«¤é¤Î¼ðáçºÙ˦ʬÎà¤ËÍ­ÍѤʰäÅÁ»Ò·²¤ò ÁªÂò¤¹¤ë¤¿¤á¤Î¥Ö¡¼¥ë´Ø¿ô¡Ê¤·¤­¤¤ÃÍ´Ø¿ô¡Ë¤Ë´ð¤Å¤¯¼êË¡¤Ë¤Ä¤¤ ¤Æ½Ò¤Ù¤ë¡£

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abstract £Ä£Î£Á¥Þ¥¤¥¯¥í¥¢¥ì¡¼¤ä¥¸¡¼¥ó¥Á¥Ã¥×¤òÍѤ¤¤Æ¡¢ÌîÀ¸³ô¤ä¤¢¤ëÆÃÄê¤Î°äÅÁ»Ò¤ÎÇ˲õ¡¢¶¯À©È¯¸½¾ò·ï²¼¤Ç¤Î¡¢°äÅÁ»Ò¥Í¥Ã¥È¥ï¡¼¥¯¤ò¹½À®¤¹¤ëʪ¼Á¡ÊmRNA¤Ê¤É¡Ë¤ÎưŪµóÆ°¡Ê¥¿¥¤¥à¥³¡¼¥¹¡Ë¤¬´Ñ¬¤µ¤ì¤ë¤È´üÂÔ¤µ¤ì¤ë¤â¤Î¤Î¡¢¸½»þÅÀ¤Ç¤Ï¡¢¤½¤Î¤è¤¦¤Ê´Ñ¬¥¿¥¤¥à¥³¡¼¥¹¥Ç¡¼¥¿¤«¤éÁê¸ßºîÍѤò¿äÄꤹ¤ë¤¿¤á¤Î¾ðÊó²Ê³ØŪ¼êË¡¤¬³ÎΩ¤µ¤ì¤Æ¤¤¤Ê¤¤¡£°ìÈ̤ˡ¢´Ñ¬¤µ¤ì¤ë¥·¥¹¥Æ¥àÍ×ÁǤÎưŪµóÆ°¡Ê¥¿¥¤¥à¥³¡¼¥¹¡Ë¤«¤é¡¢¥·¥¹¥Æ¥àÍ×ÁÇ´Ö¤ÎÁê¸ßºîÍѤò¿äÄꤹ¤ë¤³¤È¤Ï¡¢°ì¼ï¤ÎµÕÌäÂê(inverse problem)¤Ç¤¢¤ë¡£ÈùʬÊýÄø¼°¤ÇΩ¼°¤¹¤ë¾å¤Ç¡¢¤½¤Î¥·¥¹¥Æ¥àÆâ¤Ç¹Ô¤ï¤ì¤Æ¤¤¤ë¸Ä¡¹¤ÎÈ¿±þ¤Î¾ÜºÙ¤¬´ûÃΤǤ¢¤ì¤Ð¡¢¼ÁÎ̺îÍѧ¤Ë´ð¤Å¤¯É½µ­¤ÏÍ­¸ú¤Ç¤¢¤ë¤¬¡¢¸½Ãʳ¬¤Ç¤Ï¡¢°äÅÁ»Ò¥Í¥Ã¥È¥ï¡¼¥¯¤ò¹½À®¤¹¤ëʪ¼Á¤ÎÀ¸À®²áÄø¤äʬ²ò²áÄø¤¬¤½¤ì¤¾¤ì¤¤¤¯¤Ä¤Î¥Ñ¥¹(·ÐÏ©)¤«¤éÀ®¤ë¤Î¤«ÆÃÄê¤Ç¤­¤Ê¤¤¤¿¤á¡¢¼ÁÎ̺îÍѧ¤Ë¤è¤ëɽµ­¤ÏÉÔŬÅö¤Ç¤¢¤ë¡£²æ¡¹¤Ï¡¢µÕÌäÂê²ò·è¤Î¤¿¤á¤Î³×¿·Åª¤ÊÆÍÇ˸ý¤È¤·¤Æ¡¢ÈùʬÊýÄø¼°¤ÎΩ¼°¤Ë¡¢¤Ù¤­¾è§(power-law formalism)¤Ë´ð¤Å¤¤¤¿S-system¥â¥Ç¥ë¤ò¡¢´Ñ¬¥Ç¡¼¥¿¤òºÆ¸½¤¹¤ë¿¿ô¤ÎÆâÉô¥Ñ¥é¥á¡¼¥¿¤Î¼«Æ°¿äÄêË¡¤Ë°äÅÁŪ¥¢¥ë¥´¥ê¥º¥à6)¤ò¥Ù¡¼¥¹¤È¤¹¤ë¼êË¡¤òƳÆþ¤·7, 8)¡¢°äÅÁ»Ò¥Í¥Ã¥È¥ï¡¼¥¯¤ÎÁê¸ßºîÍÑÌäÂê¤ËŬÍѤ·¤¿¡£



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abstract ¡¡²æ¡¹¤ÏÀè¤Ë¡¤¥Ï¥¤¥Ö¥ê¥Ã¥É¥Ú¥È¥ê¥Í¥Ã¥È(HPN)¤òÍѤ¤¤¿°äÅÁ»ÒÀ©¸æ¥Í¥Ã¥È¥ï¡¼¥¯¤ò´Þ¤à¥Ð¥¤¥ª¥Ñ¥¹¥¦¥¨¥¤¤Îµ­½ÒÊýË¡¤òÄó°Æ¤·¤¿¡£¤³¤ÎÊýË¡¤òÍѤ¤¤ì¤Ð¡¤ÈùʬÊýÄø¼°¤Ê¤É¤Î¿ô³ØŪ¤ÊÃμ±¤ä¡¤¥×¥í¥°¥é¥ß¥ó¥°¤Î¥¹¥­¥ë¤ò¤â¤¿¤Ê¤¤À¸Êª³Ø¼Ô¤Ç¤â¡¤¥Ð¥¤¥ª¥Ñ¥¹¥¦¥¨¥¤¤Î¥â¥Ç¥ë²½¤ò¤¹¤ë¤³¤È¤¬¤Ç¤­¤ë¡£ ¡¡ËܹƤǤϤޤº¡¤¥Ð¥¤¥ª¥Ñ¥¹¥¦¥¨¥¤¤Îµ­½Ò¤Ë¤è¤êŬ¤¹¤ë¤è¤¦¤ËHPN¤ò³ÈÄ¥¤·¤¿¥Ï¥¤¥Ö¥ê¥Ã¥É´Ø¿ô¥Ú¥È¥ê¥Í¥Ã¥È(hybrid functional Petri net: HFPN)¤Ë¤Ä¤¤¤Æ´Êñ¤ËÀâÌÀ¤¹¤ë¡£¼¡¤Ëŵ·¿Åª¤Ê¥Ð¥¤¥ª¥Ñ¥¹¥¦¥¨¥¤¤Ç¤¢¤ëlac¥ª¥Ú¥í¥ó¤ÎÆó½ÅÄ´Àᵡ¹½¤Ë¤Ä¤¤¤ÆÀâÌÀ¤·¡¤¤³¤ì¤òHFPN¤Ç¥â¥Ç¥ë²½¤¹¤ëÊýË¡¤Ë¤Ä¤¤¤Æ½Ò¤Ù¡¤´ö¤Ä¤«¤Î°äÅÁ»Ò¤ÎÊÑ°ÛÂΤˤĤ¤¤Æ¥¿¥ó¥Ñ¥¯¼Á¤ÎÇ»Å٤ﶤëÉñ¤¤¤ò´Ñ»¡¤·¤¿·ë²Ì¤Ë¤Ä¤¤¤ÆÊó¹ð¤¹¤ë¡£

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abstract Ëܸ¦µæ¤Ç¤Ï¡¢°äÅÁ»Ò¥Í¥Ã¥È¥ï¡¼¥¯¤Î¹½À®Åª¼êË¡¤Ë¤è¤ëÍý²ò¤Ë´Ø¤¹¤ë´ðÁÃŪÃθ« ¤òÆÀ¤ë¤¿¤á¤Ë¡¢°äÅÁ»Òȯ¸½¤ÎÄêÀ­Åª¥Ñ¥¿¡¼¥ó(ȯ¸½¡¦Èóȯ¸½¤Î¥Ð¥¤¥Ê¥ê¥Ñ¥¿¡¼ ¥ó)¤«¤é°äÅÁ»Ò¥Í¥Ã¥È¥ï¡¼¥¯¥â¥Ç¥ë¤òÀ߷פ¹¤ë¤è¤¦¤Ê¡¢È¯¸½¥Ù¡¼¥¹¤Î°äÅÁ»Ò¥Í¥Ã ¥È¥ï¡¼¥¯Àß·×¼êË¡¤ò³«È¯¤¹¤ë¤³¤È¤òÌÜŪ¤È¤¹¤ë¡£À߷פËÍѤ¤¤ë°äÅÁ»Ò¥Í¥Ã¥È¥ï¡¼ ¥¯¥â¥Ç¥ë¤È¤·¤ÆϢ³»þ´Ö¥¹¥¤¥Ã¥Á¥ó¥°¥Í¥Ã¥È¥ï¡¼¥¯¤òºÎÍѤ·¡¢¥Í¥Ã¥È¥ï¡¼¥¯¤Î ¹½Â¤(Áê¸ßºîÍѹà)¤ò¡¢°äÅÁ»Òȯ¸½¤ÎÄêÀ­ÅªµóÆ°¤«¤é¡¢ Àþ·Á·×²èË¡¤ò´ð¤Ë¤·¤¿ ºÇŬ²½¼êË¡¤Ë¤è¤Ã¤ÆÀ߷פ¹¤ë¤³¤È¤¬²Äǽ¤Ç¤¢¤ë¤³¤È¤ò¼¨¤¹¡£

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abstract ¶áǯ¤Îʬ»ÒÀ¸Êª³Ø¤È¼Â¸³µ»½Ñ¤ÎµÞ·ã¤Ê¿ÊÊâ¤Ë¤è¤Ã¤Æ¡¢²æ¡¹¤ÏÀ¸ÂÎÆâ¾ðÊó½èÍý¤Î¥á¥«¥Ë¥º¥à¤ò°äÅÁ»Ò¥ì¥Ù¥ë¤ÇÍý²ò¤Ç¤­¤ë¤è¤¦¤Ë¤Ê¤Ã¤Æ¤­¤¿¡£Âå¼Õ¤äȯÀ¸¡¢¿À·Ð¤Î²ÄÁºÀ­¤È¤¤¤Ã¤¿Â¿¤¯¤ÎÀ¸Ì¿¸½¾Ý¤Ç¤Ï´ØÍ¿¤¹¤ë°äÅÁ»Òȯ¸½Î̤¬»þ´Ö¤È¶¦¤ËưŪ¤ËÊѲ½¤¹¤ë»ö¤¬ÃΤé¤ì¤Æ¤ª¤ê¡¢Â¿¤¯¤Î´ØϢʬ»Ò¤Ë¤è¤Ã¤ÆÀºÌ©¤ËÀ©¸æ¤µ¤ì¤ë¤³¤È¤Ç¼Â¸½¤µ¤ì¤Æ¤¤¤ë»ö¤¬ÌÀ¤é¤«¤Ë¤Ê¤ê¤Ä¤Ä¤¢¤ë¡£³Æ°äÅÁ»Ò¤Îȯ¸½À©¸æ¥á¥«¥Ë¥º¥à¤òÍý²ò¤¹¤ë¤¿¤á¤Î´ðËÜ¥â¥Ç¥ë¤È¤·¤Æ¡¢¶áǯ°äÅÁ»Ò¥Í¥Ã¥È¥ï¡¼¥¯¤¬ÃíÌܤµ¤ì¤Æ¤ª¤ê¡¢¿ôÍý¥â¥Ç¥ë²½µÚ¤Ó²òÀϤνÅÍ×À­¤¬¹â¤Þ¤Ã¤Æ¤­¤Æ¤¤¤ë¡£Ëܸ¦µæ¤Ç¤Ï¡¢ÆÃÄê¤ÎÆþÎÏÎ̤ËÁªÂòŪ¤Ë°äÅÁ»Òȯ¸½¤ò°ú¤­µ¯¤³¤¹¤¿¤á¤Î¥Í¥Ã¥È¥ï¡¼¥¯¥â¥Ç¥ë¤òÄó°Æ¤¹¤ë¡£¤Þ¤¿¤½¤Î¥â¥Ç¥ë¤Î±þÍÑÎã¤È¤·¤Æ¡¢¥Ð¥ó¥É¥Ñ¥¹¥Õ¥£¥ë¥¿¤ÎÆÃÀ­¤ò»ý¤Ä¥·¥¹¥Æ¥à¤Î¹½ÃÛ¤¬²Äǽ¤Ç¤¢¤ë¤³¤È¤ò¼¨¤¹¡£



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abstract ¡¡¸½ºß¡¢¹âÅÙƻϩ¸òÄÌ¥·¥¹¥Æ¥à(ITS)¤Î³«È¯¤¬À¹¤ó¤Ë¹Ô¤Ê¤ï¤ì¤Æ¤¤¤ë¡£Æ»Ï©É¸¼±¤Î¸¡½Ð¡¦Ç§¼±¤ÎÊýË¡¤Ë¡¢Ç»Ã¸²èÁü¤òÍѤ¤¤¿¤â¤Î¤Ç¤Ï¡¢Æ»Ï©¾ð·ÊÃæ¤ÎºÇ¹â®ÅÙɸ¼±¤Î¸¡½Ð¤ª¤è¤Óǧ¼±¤Ê¤É¤¬¤¢¤ê¡¢¥«¥é¡¼²èÁü¤òÍѤ¤¤¿¤â¤Î¤Ë¤Ï¡¢³¬ÁØ·¿¥Ë¥å¡¼¥é¥ë¥Í¥Ã¥È¥ï¡¼¥¯¤òÍѤ¤¤¿Æ»Ï©É¸¼±¤Î°ÌÃÖÆÃÄê¤Ê¤É¤¬¤¢¤ë¡£¤·¤«¤·¡¤¼ÂÍѲ½¤Ë¤Ï»ê¤Ã¤Æ¤¤¤Ê¤¤¡£ ¡¡Ëܸ¦µæ¤Ç¤Ï¡¢¥«¥é¡¼Æ»Ï©¾ð·Ê²èÁü¤Ë¤ª¤¤¤Æ¥Ë¥å¡¼¥é¥ë¥Í¥Ã¥È¥ï¡¼¥¯¤Ë¤è¤ë¿§¼±Ê̤ò¹Ô¤Ã¤¿¤â¤Î¤È¡¢Ç»Ã¸²èÁü¤Ë¤è¤ë¥¨¥Ã¥¸¾ðÊó¤òÍѤ¤¤Æ¥Ë¥å¡¼¥é¥ë¥Í¥Ã¥È¥ï¡¼¥¯¤Ë¤è¤ë·Á¾õǧ¼±¤ò¹Ô¤Ã¤¿¤â¤Î¤È¤òÊ»ÍѤ·¡¢ºÆǧ¼±½èÍý¤ò²Ã¤¨¡¢Æ»Ï©É¸¼±¤òǧ¼±¤¹¤ëÊýË¡¤Î³«È¯¤òÌÜŪ¤È¤·¤Æ¤¤¤ë¡£ ¡¡¤½¤Î·ë²Ì¡¢½¾Íè¤Î¼êË¡¤è¤ê¤âǧ¼±Î¨¤ò¸þ¾å¤µ¤»¤ë¤³¤È¤¬¤Ç¤­¤¿¡£

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abstract LSI¤Î¿ÊÊâ¤È¤È¤â¤Ë¹âÅ٤ʥҥ塼¥Þ¥ó¥¤¥ó¥¿¥Õ¥§¡¼¥¹¤Î¼Â¸½¤¬²Äǽ¤È¤Ê¤ê¤Ä¤Ä¤¢¤ë¡¥¹âÅ٤ʥ¤¥ó¥¿¥Õ¥§¡¼¥¹¤ò¹½ÃÛ¤¹¤ë»þ¤Ë¡¤¿Í´Ö¤Î°Õ¿Þ¤òɽ¤¹¤â¤Î¤È¤·¤Æ´é¤Î¸þ¤­¤òÍøÍѤǤ­¤ë¡¥¤½¤³¤Ç¡¤´é¤¬¥·¥¹¥Æ¥à¤Ë¸þ¤±¤é¤ì¤Æ¤¤¤ë¤«¡¤¤¹¤Ê¤ï¤Á´é¤È¥«¥á¥é¤¬Âд餷¤Æ¤¤¤ë¤«¤òȽÄꤹ¤ë¼êË¡¤òÄó°Æ¤·¡¤¤½¤ì¤òLSI¤Ë¤è¤ê¼Â¸½¤¹¤ë¡¥¤³¤ÎLSI¤ÏRGB¤«¤éÀ®¤ë¥Ó¥Ç¥ª¿®¹æ¤òÆþÎϤȤ·¡¤È©¿§È½Äꡤ´éÎΰèȽÄê¤ò¹Ô¤Ã¤¿¸å¡¤´é¤ÎÂоÎÀ­¤ËÃåÌܤ·¤ÆÂд餷¤Æ¤¤¤ë¤«¤òȽÄꤹ¤ë¡¥ËܼêË¡¤ÎÆÃħ¤È¤·¤Æ¡¤µ÷Î¥¤ËÂФ·¤Æ¥í¥Ð¥¹¥È¤Ç¤¢¤ë¡¤ÂоݤòÆÃÄꤷ¤Ê¤¤¡¤¥ê¥¢¥ë¥¿¥¤¥à¤Ë½èÍý¤Ç¤­¤ë¡¤¾Ê¥á¥â¥ê¤Ç¤¢¤ë¡¤¤Ê¤É¤¬µó¤²¤é¤ì¤ë¡¥¤³¤ÎLSI¤Ë¤è¤ê¡¤Ê£¿ô¤Î²»À¼Ç§¼±¥·¥¹¥Æ¥à¤Î´é¤ÎÊý¸þ¤Ë¤è¤ëÁªÂòŪÁàºî¤ä¡¤¥í¥Ü¥Ã¥È¤¬Ç½Æ°Åª¤Ë¿Í´Ö¤Ë¥¢¥×¥í¡¼¥Á¤¹¤ë¤è¤¦¤Ê¥·¥¹¥Æ¥à¤ò¼Â¸½¤¹¤ë¤³¤È¤¬¤Ç¤­¤ë¡¥

Âê̾ FPGA¤Ë¤è¤ëưŪÎسԥâ¥Ç¥ë¤Î¥Ï¡¼¥É¥¦¥§¥¢¼Â¸½
Ãø¼Ô ¡û°¤Éð Ì÷É×, ÏÉÈø ¾»Àë, ¿û¸¶ °ì¹¦, ¾®À¾ μ²ð(Ä»¼èÂç³Ø¹©³ØÉôÅŵ¤ÅŻҹ©³Ø²Ê)
keywords ÎسÔÃê½Ð, ưŪÎسԥâ¥Ç¥ë, FPGA
abstract ưŪÎسԥâ¥Ç¥ë¤Ï²èÁü¤«¤éʪÂΤòÃê½Ð¤¹¤ë¤¿¤á¤Î¥¢¥ë¥´¥ê¥º¥à¤È¤·¤ÆÄó°Æ¤µ¤ì¤Æ¤ª¤ê¡¤¤½¤Î¶¯ÎϤǽÀÆð¤ÊÎسԷÁ¾õÃê½ÐǽÎϤ«¤é¡¤ÎسԤθ¡½Ð¡¤°ÜưʪÂΤÎÄÉÀפʤÉ¿¤¯¤Î¥¢¥×¥ê¥±¡¼¥·¥ç¥ó¤ËŬÍѤµ¤ì¤Æ¤¤¤ë¡¥¤³¤ì¤Þ¤ÇưŪÎسԥâ¥Ç¥ë¤Ï¡¤¥³¥ó¥Ô¥å¡¼¥¿¾å¤Î¥½¥Õ¥È¥¦¥§¥¢¥×¥í¥°¥é¥à¤Ë¤è¤ê¼Â¸½¤µ¤ì¤Æ¤­¤¿¤Î¤Ç¡¤¤½¤Î½èÍý®ÅÙ¤ä¥Ï¡¼¥É¥¦¥§¥¢Î̤ϥ³¥ó¥Ô¥å¡¼¥¿¤ËÂ礭¤¯º¸±¦¤µ¤ì¤¿¡¥¤³¤Î¤¿¤á¡¤¥Ó¥Ç¥ª¿®¹æ¤ò¼è¤ê°·¤¦¥¹¥¿¥ó¥É¥¢¥í¥ó²èÁü½èÍý¥·¥¹¥Æ¥à¤ËưŪÎسԥâ¥Ç¥ë¤òŬÍѤ¹¤ë¤³¤È¤Ï¡¤½èÍý®ÅÙ¤ä¥Ï¡¼¥É¥¦¥§¥¢Î̤ÎÌ̤Ǻ¤Æñ¤Ç¤¢¤Ã¤¿¡¥ËܹƤǤÏFPGA¾å¤Ç¤ÎưŪÎسԥâ¥Ç¥ë¤Î¥Ï¡¼¥É¥¦¥§¥¢¼Â¸½¤Ë¤Ä¤¤¤Æ¡¤¥·¥¹¥Æ¥à¹½À®Î㤪¤è¤Ó¤½¤ÎÆ°ºî³Îǧ·ë²Ì¤ò½Ò¤ÙÍ­¸úÀ­¤ò³Îǧ¤¹¤ë¡¥

Âê̾ ¿®¹æ¸ì¤ò¿¿ô¤Ëʬ³ä¤¹¤ë¤³¤È¤Ë¤è¤ëFIR¥Ç¥£¥¸¥¿¥ë¥Õ¥£¥ë¥¿¤Î¥Á¥Ã¥×ÌÌÀѤ¬¸úΨŪ¤ÊVLSI¥¢¡¼¥­¥Æ¥¯¥Á¥ã¤ÎºÇŬ²½
Ãø¼Ô ÌøÀ¸¡¡¸÷ɧ(Åìµþ¹©¶ÈÂç³ØÂç³Ø±¡Íý¹©³Ø¸¦µæ²ÊÅÅ»ÒʪÍý¹©³ØÀ칶), ¡ûÅÄÃæ¡¡µªÀ®(Åìµþ¹©¶ÈÂç³Ø¹©³ØÉô¾ðÊ󹩳زÊ), À¾¸¶¡¡ÌÀË¡(Åìµþ¹©¶ÈÂç³Ø¶µ°é¹©³Ø³«È¯¥»¥ó¥¿¡¼)
keywords FIR¥Ç¥£¥¸¥¿¥ë¥Õ¥£¥ë¥¿, ¿®¹æ¸ì¤Îʬ³ä, ¥È¥é¥ó¥¸¥¹¥¿¿ô, ¥¢¡¼¥­¥Æ¥¯¥Á¥ã, 1-bit²Ã»»´ï
abstract ¾®Ê¸¤Ç¤Ï¡¤¿®¹æ¸ìʬ³äFIR¥Ç¥£¥¸¥¿¥ë¥Õ¥£¥ë¥¿¤Î¥Á¥Ã¥×ÌÌÀѤ¬¸úΨŪ¤Ê¥¢¡¼¥­¥Æ¥¯¥Á¥ã¤ÎºÇŬ²½¼êË¡¤òÄó°Æ¤·¤Æ¤¤¤ë¡¥Äó°Æ¤¹¤ëºÇŬ²½¼êË¡¤Ë¤ª¤¤¤Æ¤Ï¡¤¤Þ¤º1-bitÁ´²Ã»»´ï¤ÈȾ²Ã»»´ï¤ËÍѤ¤¤é¤ì¤ë¥È¥é¥ó¥¸¥¹¥¿¿ô¤¬»ÅÍͤȤ·¤ÆÍ¿¤¨¤é¤ì¤ë¡¥ºÇÂçʬ³ä¿ô¤Çʬ³ä¤µ¤ì¤¿¿®¹æ¤Ïñ°ì¤Î¥Ó¥Ã¥È¤Ë¤è¤êɽ¸½¤µ¤ì¡¤¤½¤ì¤é¤È¤½¤ì¤é¤ËÂбþ¤¹¤ë·¸¿ô¤È¤ÎÀÑϱ黻¤¬¡¤¥Õ¥£¥ë¥¿Á´ÂΤËÍѤ¤¤ë¥È¥é¥ó¥¸¥¹¥¿¿ô¤¬ºÇ¾®¤È¤Ê¤ë¤è¤¦¤Ë1-bit²Ã»»´ï¤Ë¤è¤ê¼Â¸½¤µ¤ì¤ë¡¥Â¿¿ô¤ÎÀß·×Îã¤Ë¤ª¤¤¤Æ¡¤¥Õ¥£¥ë¥¿¤òºÇŬ¤Ê¥¢¡¼¥­¥Æ¥¯¥Á¥ã¤òÍ­¤¹¤ë¿®¹æ¸ìʬ³ä¥Õ¥£¥ë¥¿¤È¤·¤Æ¹½À®¤¹¤ë¤³¤È¤Ç¡¤¼Â¸½¤ËɬÍפʥȥé¥ó¥¸¥¹¥¿¿ô¤òÂ礭¤¯Ä㸺¤Ç¤­¤ë¤³¤È¤ò³Îǧ¤·¤Æ¤¤¤ë¡¥



¥»¥Ã¥·¥ç¥ó C2-3 ¥·¥¹¥Æ¥àLSI¤ÎÆõöÆ°¸þ¤ÈÆõö¾ðÊó¤Î³èÍÑÊýË¡ (23Æü 13:30¡Á14:30)
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keywords ȾƳÂÎ, Æõö, ÃÎŪºâ»º, ¥·¥¹¥Æ¥à£Ì£Ó£É, £Ð£Ì£Ä
abstract ȾƳÂλº¶È¹½Â¤¤Ë¿åʿʬ¶È·¿¤ÎÊѳפϡ¢º£¤Þ¤Ç°Ê¾å¤Ë¿Íͤʼè°ú¤ò¸Æ¤Óµ¯¤³¤·¡¢Æäˡ¢¼è°úÂоݤȤʤ뵻½Ñ¼«¿È¤¬¹âÉղòÁÃ;ðÊó¤È¤·¤Æ½ÅÍ×À­¤òÁý¤·¤Æ¤¤¤ë¡£¤½¤·¤Æ¡¢µ»½Ñ¾ðÊó¤È¤¤¤¦ÌµÂκ⻺¤òÍ­±×¤Ë³èÍѤ¹¤ë¤Ë¤Ï¡¢Æõö¤ò´Þ¤àÃÎŪºâ»ºÀ©ÅÙ¤ËÂФ¹¤ëÀµ³Î¤ÊÍý²ò¤¬µá¤á¤é¤ì¤Æ¤¤¤ë¡£ ¡¡¤Þ¤¿¡¢°ìÊý¤Ç¡¢¸¦µæ³«È¯¤ÎÀ®²Ìʪ¤È¤â¸À¤¨¤ëÆõö¾ðÊó¤Ï¡¢¤½¤ì¤òʬÀϤ¹¤ë¤³¤È¤Ç¸¦µæ³«È¯¤ÎÊý¸þÀ­¤òͽ¬¤¹¤ë¤¿¤á¤Î´ðÁþðÊó¤È¤Ê¤êÆÀ¤ë¡£ ¡¡ËܹƤǤϡ¢»º¶È¹½Â¤¤ÎÊѳפËȼ¤¦¾ðÊó²ÁÃʹѤοä°Ü¤Ë¿¨¤ì¤ë¤È¶¦¤Ë¡¢¥·¥¹¥Æ¥àLSIʬÌî¤ò¶ñÂÎÎã¤Ë¼è¤ê¡¢Æõö¾ðÊó¤Î²òÀÏ·ë²Ì¤Ë´ð¤Å¤¤¤¿¸¦µæ³«È¯¤ÎÀïάŪ¤ÊÄó¸À¤ò»î¤ß¤ë¡£



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Âê̾ Åý·×Ū¥Ñ¥¹¥Ç¥£¥ì¥¤É¾²Á¥â¥Ç¥ë¤Ë¤è¤ëCMOS LSIÀß·×´ü´Ö¤Îû½Ì²½
Ãø¼Ô ¡ûÀî²¼ ãÌé, »°ÌÚ ÎÉͺ((³ô)ÆüΩÀ½ºî½ê Ãæ±û¸¦µæ½ê ¥¨¥ó¥¿¡¼¥×¥é¥¤¥º¥·¥¹¥Æ¥à¸¦µæÉô)
keywords ¥Ñ¥¹¥Ç¥£¥ì¥¤, û´ü´ÖÀß·×, ÇÛÀþĹ¤Ð¤é¤Ä¤­, ³ÎΨʬÉÛ
abstract CMOS LSI¤ÎÏÀÍýÀ߷פˤª¤±¤ë¥Ñ¥¹¥Ç¥£¥ì¥¤É¾²ÁÊýË¡¡¤¤ª¤è¤Ó¤³¤ì¤òÍѤ¤¤¿CMOS LSI¤Îû´ü´ÖÀß·×¼êË¡¤òÄó°Æ¤·¤¿¡£½¾Í衤LSI¼ÂÁõ»þ¤ÎÇÛÀþĹ¤Ð¤é¤Ä¤­¤Ë¤è¤ê¡¤ÏÀÍý²óÏ©¤Î¼ÂÁõ¤Îñ°Ì¤Ç¤¢¤ë¥Ö¥í¥Ã¥¯¤Î²óÏ©Î̤òÂ礭¤¯¤¹¤ë¤È¥Ñ¥¹¥Ç¥£¥ì¥¤¤¬°­²½¤¹¤ë¤¬¡¤ÄêÎÌŪ´Ø·¸¤ÏÉÔÌÀ³Î¤Ç¤¢¤Ã¤¿¡£ËܹƤǤϡ¤ÇÛÀþŤò¤Ï¤¸¤á¤È¤¹¤ë¥Ñ¥¹¥Ç¥£¥ì¥¤¤Î·èÄêÍ×°ø¤ò³ÎΨʬÉۤǥâ¥Ç¥ë²½¤·¡¤¤³¤ì¤é¤ÎÍ×°ø¤Î´Ö¤Ç¤Î¾ö¤ß¹þ¤ß¤Ë¤è¤ê¥Ñ¥¹¥Ç¥£¥ì¥¤Ê¬ÉÛ¤òÆÀ¤ë¼êË¡¤òÄó°Æ¤¹¤ë¡£¤³¤Î¼êË¡¤Ë¤è¤ê¡¤LSI¤Î¼ÂÁõÀ߷פò¹Ô¤¦Á°¤Ç¤âÀºÅ٤ι⤤¥Ñ¥¹¥Ç¥£¥ì¥¤É¾²Á¤ò¹Ô¤¦¤³¤È¤¬²Äǽ¤È¤Ê¤ë¤Î¤Ç¡¤¼ÂÁõÀ߷׸å¤ËÀ­Ç½ÌÜɸ¤Ë̤ã¤È¤Ê¤ë¥Ñ¥¹¤ÎËÜ¿ô¤òºï¸º¤·¡¤LSIÀß·×´ü´Ö¤Îû½Ì¤ò¼Â¸½¤¹¤ë¤³¤È¤¬²Äǽ¤Ç¤¢¤ë¡£

Âê̾ ¥·¡¼¥ë¥Ç¥£¥ó¥°¸ú²Ì¤ò¹Íθ¤·¤¿´Ê°×ÃÙ±ä·×»»¥â¥Ç¥ë¤Ë¤è¤ë²òÀÏŪ¼êË¡¤òÍѤ¤¤¿¥Ð¥Ã¥Õ¥¡ÁÞÆþË¡
Ãø¼Ô ¡û¶¶ËÜ Å´ÂÀϺ, ƣ߷ µ×ŵ(³ô¼°²ñ¼ÒÉÙ»ÎÄ̸¦µæ½ê/SOCÀß·×µ»½Ñ¸¦µæÉô)
keywords ¥Ð¥Ã¥Õ¥¡ÁÞÆþË¡, ¥¿¥¤¥ß¥ó¥°ºÇŬ²½, ÃÙ±ä·×»»¥â¥Ç¥ë
abstract LSIÀ߷פˤª¤¤¤Æ¡¢ÇÛÀþÃÙ±ä¤Î²þÁ±¤Ë¸ú²ÌŪ¤ÊÊýË¡¤È¤·¤Æ¥Ð¥Ã¥Õ¥¡ÁÞÆþË¡¤¬¤¢¤ë¡£ËÜʸ¤Ç¤Ï¡¢¥¿¥¤¥ß¥ó¥°À©Ì󤫤é¥Ð¥Ã¥Õ¥¡ÁÞÆþ¾ò·ï¡ÊÇÛÀþʬ³ä¿ô¡¢¥Ð¥Ã¥Õ¥¡¶îưǽÎÏ¡¢¥Ð¥Ã¥Õ¥¡ÁÞÆþ°ÌÃ֡ˤò²òÀϼ°¤òľÀܲò¤¯¤³¤È¤Ç·×»»¤·¡¢¥Ð¥Ã¥Õ¥¡ÁÞÆþ¾ò·ï¤ò¥Ð¥Ã¥Õ¥¡ÁÞÆþ¸õÊä¤È¤·¤Æ¥¿¥¤¥ß¥ó¥°À©Ìó¤òËþ¤¿¤¹¤è¤¦¤ËºÇŬ²ò¤òµá¤á¤ë¥Ð¥Ã¥Õ¥¡ÁÞÆþ¼êË¡¤òÄó°Æ¤¹¤ë¡£¤Þ¤¿¡¢¥¨¥ë¥â¥¢ÃÙ±ä¥â¥Ç¥ëÄøÅ٤δʰפµ¤Ç¥·¡¼¥ë¥Ç¥£¥ó¥°¸ú²Ì¤ò¹Íθ¤Ç¤­¤ëÃÙ±ä·×»»¥â¥Ç¥ë¤âÄó°Æ¤¹¤ë¡£

Âê̾ ¼Â¹ÔÉÑÅÙ¤ÎÊФê¤òÍøÍѤ·¤¿Ì¿Îᥳ¡¼¥É³äÅö¤Æ¤Ë¤è¤ëÌ¿ÎáROM¤ÎÄã¾ÃÈñÅÅÎϲ½
Ãø¼Ô ¡û°æ¾å¹°»Î, Vasily G. Moshnyaga(Ê¡²¬Âç³Ø¡¡¹©³ØÉô¡¡ÅŻҾðÊ󹩳زÊ), ¼¾åϾ´(¶å½£Âç³Ø¡¡Âç³Ø±¡¡¡¥·¥¹¥Æ¥à¾ðÊó²Ê³Ø¸¦µæ±¡)
keywords Äã¾ÃÈñÅÅÎÏ, Ì¿ÎáROM, ¥³¡¼¥É³ä¤êÅö¤Æ, ¼Â¹ÔÉÑÅÙ, ¥Ó¥Ã¥È¥é¥¤¥ó
abstract ËܹƤǤϡ¤Ì¿ÎáROM¤ÎÄã¾ÃÈñ¥¨¥Í¥ë¥®¡¼²½¤òÌÜŪ¤È¤¿Ì¿Îᥳ¡¼¥É³äÅö¤Æ¼êË¡¤òÄó°Æ¤¹¤ë¡¥ROM¥¢¥¯¥»¥¹Åö¤¿¤ê¤Î¾ÃÈñ¥¨¥Í¥ë¥®¡¼¤Ï¡¤ÆɽФ·Âоݥǡ¼¥¿¤Î¥Ó¥Ã¥È¥Ñ¥¿¥ó¤Ë°Í¸¤¹¤ë¡¥°ìÈ̤ˡ¤Ì¿Îᥳ¡¼¥É¤Î¥Ó¥Ã¥È¥Ñ¥¿¥ó¤Ï¥Ç¥³¡¼¥ÉÍÆ°×À­¤ò¹Íθ¤·¤Æ·èÄꤵ¤ì¤ë¡¥¤³¤ì¤ËÂФ·¡¤Äó°Æ¼êË¡¤Ç¤Ï¡¤Ì¿ÎáROM¤Î¥Ó¥Ã¥È¥é¥¤¥ó¡¦¥¹¥¤¥Ã¥Á¥ó¥°²ó¿ôºï¸º¤òÌÜŪ¤È¤·¤ÆÌ¿Îᥳ¡¼¥É¤ò·èÄꤹ¤ë¡¥»öÁ°¤Ë¥¢¥×¥ê¥±¡¼¥·¥ç¥ó¡¦¥×¥í¥°¥é¥à¤Î²òÀϤò¹Ô¤¤¡¤¼Â¹ÔÉÑÅ٤ι⤤̿Îá¤ò¸¡½Ð¤¹¤ë¡¥¤½¤·¤Æ¡¤¤³¤ì¤é¤ÎÌ¿Îá¤ËÂФ·¡¤¥Ó¥Ã¥È¥é¥¤¥ó¤Î¥¹¥¤¥Ã¥Á¥ó¥°²ó¿ô¤¬ºÇ¾®¤È¤Ê¤ë¤è¤¦¡¤Ì¿Îᥳ¡¼¥É¤Î³äÅö¤Æ¤ò¹Ô¤¦¡¥¤³¤ì¤Ë¤è¤ê¡¤¥×¥í¥°¥é¥à¼Â¹Ô¤Ë¤ª¤±¤ëÁí¥Ó¥Ã¥È¥é¥¤¥ó¡¦¥¹¥¤¥Ã¥Á¥ó¥°²ó¿ô¤òºÇÂç50\%ºï¸º¤Ç¤­¤¿¡¥

Âê̾ ¥¿¥°Èæ³Ó·ë²Ì¤ÎºÆÍøÍѤ˴ð¤Å¤¯¥á¥Ç¥£¥¢¡¦¥¢¥×¥ê¥±¡¼¥·¥ç¥ó¸þ¤±Äã¾ÃÈñÅÅÎÏ¥­¥ã¥Ã¥·¥å
Ãø¼Ô ¡û°æ¾å¹°»Î, Vasily G. Moshnyaga(Ê¡²¬Âç³Ø¡¡¹©³ØÉô¡¡ÅŻҾðÊ󹩳زÊ), ¼¾åϾ´(¶å½£Âç³Ø¡¡Âç³Ø±¡¡¡¥·¥¹¥Æ¥à¾ðÊó²Ê³Ø¸¦µæ±¡)
keywords Äã¾ÃÈñÅÅÎÏ, Ì¿ÎáROM, ¥³¡¼¥É³ä¤êÅö¤Æ, ¼Â¹ÔÉÑÅÙ, ¥Ó¥Ã¥È¥é¥¤¥ó
abstract ËܹƤǤϡ¤Äã¾ÃÈñ¥¨¥Í¥ë¥®¡¼²½¤ò¼Â¸½¤¹¤ë¿·¤·¤¤Ì¿Îᥭ¥ã¥Ã¥·¥å¡¦¥¢¡¼¥­¥Æ¥¯¥Á¥ã¤È¤·¤Æ¡¤¥Ò¥¹¥È¥ê¡¦¥Ù¡¼¥¹¡¦¥ë¥Ã¥¯¥¢¥Ã¥×¡¦¥­¥ã¥Ã¥·¥å(HBL¥­¥ã¥Ã¥·¥å)¤òÄó°Æ¤¹¤ë¡¥HBL¥­¥ã¥Ã¥·¥å¤Ï¡¤²áµî¤Î¥¿¥°Èæ³Ó·ë²Ì¤òºÆÍøÍѤ·¡¤»²¾È¥Ç¡¼¥¿¸¡º÷¤Ë¤ª¤±¤ë̵Â̤ʥ¦¥§¥¤¡¦¥¢¥¯¥»¥¹¤ò²óÈò¤¹¤ë¤³¤È¤Ç¡¤Äã¾ÃÈñ¥¨¥Í¥ë¥®¡¼²½¤ò¼Â¸½¤¹¤ë¡¥¥Ù¥ó¥Á¥Þ¡¼¥¯¡¦¥×¥í¥°¥é¥à¤òÍѤ¤¤¿ÄêÎÌŪɾ²Á¤ò¹Ô¤Ã¤¿·ë²Ì¡¤½¾Íè·¿¥­¥ã¥Ã¥·¥å¤ÈÈæ³Ó¤·¤Æ¡¤Ìó0.2\%¤ÎÀ­Ç½Äã²¼¤òȼ¤¦¤À¤±¤Ç¡¤ºÇÂç62\%¤Î¥­¥ã¥Ã¥·¥å¡¦¥¢¥¯¥»¥¹¾ÃÈñ¥¨¥Í¥ë¥®¡¼¤òºï¸º¤Ç¤­¤¿¡¥

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